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BT 34.016 758.470 Td /F1 30.0 Tf [(Alan Agresti Categorical Data Analysis Solutions)] TJ ET
BT 34.016 701.392 Td /F1 15.0 Tf [(Getting the books )] TJ ET
BT 155.756 701.392 Td /F1 15.0 Tf [(Alan Agresti Categorical Data Analysis Solutions)] TJ ET
BT 478.376 701.392 Td /F1 15.0 Tf [( now is not type of inspiring means. You could not and no-one else going gone ebook accretion or )] TJ ET
BT 34.016 683.077 Td /F1 15.0 Tf [(library or borrowing from your friends to open them. This is an totally simple means to specifically get lead by on-line. This online declaration Alan Agresti Categorical )] TJ ET
BT 34.016 664.762 Td /F1 15.0 Tf [(Data Analysis Solutions can be one of the options to accompany you gone having supplementary time.)] TJ ET
BT 34.016 628.447 Td /F1 15.0 Tf [(It will not waste your time. take on me, the e-book will definitely expose you additional business to read. Just invest little epoch to edit this on-line message )] TJ ET
BT 1061.141 628.447 Td /F1 15.0 Tf [(Alan Agresti )] TJ ET
BT 34.016 610.132 Td /F1 15.0 Tf [(Categorical Data Analysis Solutions)] TJ ET
BT 271.601 610.132 Td /F1 15.0 Tf [( as competently as review them wherever you are now.)] TJ ET
BT 34.016 543.817 Td /F1 15.0 Tf [(A Handbook of Statistical Graphics Using SAS ODS)] TJ ET
BT 379.151 543.817 Td /F1 15.0 Tf [( Geoff Der 2014-08-15 Easily Use SAS to Produce Your Graphics Diagrams, plots, and other types of graphics are )] TJ ET
BT 34.016 525.502 Td /F1 15.0 Tf [(indispensable components in nearly all phases of statistical analysis, from the initial assessment of the data to the selection of appropriate statistical models to the )] TJ ET
BT 34.016 507.187 Td /F1 15.0 Tf [(diagnosis of the chosen models once they have been fitted to the data. Harnessing the full graphics capabilities of SAS, A Handbook of Statistical Graphics Using SAS )] TJ ET
BT 34.016 488.872 Td /F1 15.0 Tf [(ODS covers essential graphical methods needed in every statistician’s toolkit. It explains how to implement the methods using SAS 9.4. The handbook shows how to )] TJ ET
BT 34.016 470.557 Td /F1 15.0 Tf [(use SAS to create many types of statistical graphics for exploring data and diagnosing fitted models. It uses SAS’s newer ODS graphics throughout as this system offers )] TJ ET
BT 34.016 452.242 Td /F1 15.0 Tf [(a number of advantages, including ease of use, high quality of results, consistent appearance, and convenient semiautomatic graphs from the statistical procedures. )] TJ ET
BT 34.016 433.927 Td /F1 15.0 Tf [(Each chapter deals graphically with several sets of example data from a wide variety of areas, such as epidemiology, medicine, and psychology. These examples )] TJ ET
BT 34.016 415.612 Td /F1 15.0 Tf [(illustrate the use of graphic displays to give an overview of data, to suggest possible hypotheses for testing new data, and to interpret fitted statistical models. The SAS )] TJ ET
BT 34.016 397.297 Td /F1 15.0 Tf [(programs and data sets are available online.)] TJ ET
BT 34.016 378.982 Td /F1 15.0 Tf [(Ordinal Data Modeling)] TJ ET
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34.016 376.507 m 183.236 376.507 l S
BT 183.236 378.982 Td /F1 15.0 Tf [( Valen E. Johnson 2006-04-06 Ordinal Data Modeling is a comprehensive treatment of ordinal data models from both likelihood and Bayesian )] TJ ET
BT 34.016 360.667 Td /F1 15.0 Tf [(perspectives. A unique feature of this text is its emphasis on applications. All models developed in the book are motivated by real datasets, and considerable attention is )] TJ ET
BT 34.016 342.352 Td /F1 15.0 Tf [(devoted to the description of diagnostic plots and residual analyses. Software and datasets used for all analyses described in the text are available on websites listed in )] TJ ET
BT 34.016 324.037 Td /F1 15.0 Tf [(the preface.)] TJ ET
BT 34.016 305.722 Td /F1 15.0 Tf [(Foundations of Linear and Generalized Linear Models)] TJ ET
0.3 w 0 J [ ] 0 d
34.016 303.247 m 391.691 303.247 l S
BT 391.691 305.722 Td /F1 15.0 Tf [( Alan Agresti 2015-02-23 A valuable overview of the most important ideas and results in statistical modeling )] TJ ET
BT 34.016 287.407 Td /F1 15.0 Tf [(Written by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of )] TJ ET
BT 34.016 269.092 Td /F1 15.0 Tf [(linearstatistical models. The book presents a broad, in-depth overview of the most commonly usedstatistical models by discussing the theory underlying the models, R )] TJ ET
BT 34.016 250.777 Td /F1 15.0 Tf [(software applications,and examples with crafted models to elucidate key ideas and promote practical modelbuilding. The book begins by illustrating the fundamentals of )] TJ ET
BT 34.016 232.462 Td /F1 15.0 Tf [(linear models, such as how the model-fitting projects the data onto a model vector subspace and how orthogonal decompositions of the data yield information about the )] TJ ET
BT 34.016 214.147 Td /F1 15.0 Tf [(effects of explanatory variables. Subsequently, the book covers the most popular generalized linear models, which include binomial and multinomial logistic regression )] TJ ET
BT 34.016 195.832 Td /F1 15.0 Tf [(for categorical data, and Poisson and negative binomial loglinear models for count data. Focusing on the theoretical underpinnings of these models, Foundations )] TJ ET
BT 34.016 177.517 Td /F1 15.0 Tf [(ofLinear and Generalized Linear Models also features: An introduction to quasi-likelihood methods that require weaker distributional assumptions, such as generalized )] TJ ET
BT 34.016 159.202 Td /F1 15.0 Tf [(estimating equation methods An overview of linear mixed models and generalized linear mixed models with random effects for clustered correlated data, Bayesian )] TJ ET
BT 34.016 140.887 Td /F1 15.0 Tf [(modeling, and extensions to handle problematic cases such as high dimensional problems Numerous examples that use R software for all text data analyses More than )] TJ ET
BT 34.016 122.572 Td /F1 15.0 Tf [(400 exercises for readers to practice and extend the theory, methods, and data analysis A supplementary website with datasets for the examples and exercises An )] TJ ET
BT 34.016 104.257 Td /F1 15.0 Tf [(invaluable textbook for upper-undergraduate and graduate-level students in statistics and biostatistics courses, Foundations of Linear and Generalized Linear Models is )] TJ ET
BT 34.016 85.942 Td /F1 15.0 Tf [(also an excellent reference for practicing statisticians and biostatisticians, as well as anyone who is interested in learning about the most important statistical models for )] TJ ET
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BT 34.016 793.222 Td /F1 15.0 Tf [(analyzing data.)] TJ ET
BT 34.016 774.907 Td /F1 15.0 Tf [(Statistics: the Art and Science of Learning from Data)] TJ ET
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BT 382.511 774.907 Td /F1 15.0 Tf [( Alan Agresti 2012-03-01 This package includes a physical copy of Statistics: The Art and Science of Learning from )] TJ ET
BT 34.016 756.592 Td /F1 15.0 Tf [(Data by Alan Agresti and Christine Franklin, as well as access to the eText and MyMathLab. Statistics: The Art and Science of Learning from Data, Third Edition, helps )] TJ ET
BT 34.016 738.277 Td /F1 15.0 Tf [(you become statistically literate by encouraging you to ask and answer interesting statistical questions. This book takes the ideas that have turned statistics into a )] TJ ET
BT 34.016 719.962 Td /F1 15.0 Tf [(central science in modern life and makes them accessible. The Third Edition has been edited for conciseness and clarity to keep you focused on the main concepts. The )] TJ ET
BT 34.016 701.647 Td /F1 15.0 Tf [(data-rich examples that feature intriguing human-interest topics now include topic labels to indicate which statistical topic is being applied.)] TJ ET
BT 34.016 683.332 Td /F1 15.0 Tf [(Biostatistics in Public Health Using STATA)] TJ ET
BT 316.601 683.332 Td /F1 15.0 Tf [( Erick L. Suárez 2016-03-24 Striking a balance between theory, application, and programming, Biostatistics in Public Health )] TJ ET
BT 34.016 665.017 Td /F1 15.0 Tf [(Using STATA is a user-friendly guide to applied statistical analysis in public health using STATA version 14. The book supplies public health practitioners and students )] TJ ET
BT 34.016 646.702 Td /F1 15.0 Tf [(with the opportunity to gain expertise in the application of statistics in epidemiolo)] TJ ET
BT 34.016 628.387 Td /F1 15.0 Tf [(Applied Regression Analysis)] TJ ET
BT 224.081 628.387 Td /F1 15.0 Tf [( Norman R. Draper 2014-08-25 An outstanding introduction to the fundamentals of regression analysis-updated and expanded The )] TJ ET
BT 34.016 610.072 Td /F1 15.0 Tf [(methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, )] TJ ET
BT 34.016 591.757 Td /F1 15.0 Tf [(thorough presentation of concepts and applications, offers a complete, easily accessible introduction to the fundamentals of regression analysis. Assuming only a basic )] TJ ET
BT 34.016 573.442 Td /F1 15.0 Tf [(knowledge of elementary statistics, Applied Regression Analysis, Third Edition focuses on the fitting and checking of both linear and nonlinear regression models, using )] TJ ET
BT 34.016 555.127 Td /F1 15.0 Tf [(small and large data sets, with pocket calculators or computers. This Third Edition features separate chapters on multicollinearity, generalized linear models, mixture )] TJ ET
BT 34.016 536.812 Td /F1 15.0 Tf [(ingredients, geometry of regression, robust regression, and resampling procedures. Extensive support materials include sets of carefully designed exercises with full or )] TJ ET
BT 34.016 518.497 Td /F1 15.0 Tf [(partial solutions and a series of true/false questions with answers. All data sets used in both the text and the exercises can be found on the companion disk at the back )] TJ ET
BT 34.016 500.182 Td /F1 15.0 Tf [(of the book. For analysts, researchers, and students in university, industrial, and government courses on regression, this text is an excellent introduction to the subject )] TJ ET
BT 34.016 481.867 Td /F1 15.0 Tf [(and an efficient means of learning how to use a valuable analytical tool. It will also prove an invaluable reference resource for applied scientists and statisticians.)] TJ ET
BT 34.016 463.552 Td /F1 15.0 Tf [(Foundations of Statistics for Data Scientists)] TJ ET
BT 323.306 463.552 Td /F1 15.0 Tf [( ALAN. KATERI AGRESTI \(MARIA.\) 2024-09-15 Designed as a textbook for a one or two-term introduction to mathematical )] TJ ET
BT 34.016 445.237 Td /F1 15.0 Tf [(statistics for students training to become data scientists, Foundations of Statistics for Data Scientists: With R and Python is an in-depth presentation of the topics in )] TJ ET
BT 34.016 426.922 Td /F1 15.0 Tf [(statistical science with which any data scientist should be familiar, including probability distributions, descriptive and inferential statistical methods, and linear modelling. )] TJ ET
BT 34.016 408.607 Td /F1 15.0 Tf [(The book assumes knowledge of basic calculus, so the presentation can focus on 'why it works' as well as 'how to do it.' Compared to traditional "mathematical )] TJ ET
BT 34.016 390.292 Td /F1 15.0 Tf [(statistics" textbooks, however, the book has less emphasis on probability theory and more emphasis on using software to implement statistical methods and to conduct )] TJ ET
BT 34.016 371.977 Td /F1 15.0 Tf [(simulations to illustrate key concepts. All statistical analyses in the book use R software, with an appendix showing the same analyses with Python. The book also )] TJ ET
BT 34.016 353.662 Td /F1 15.0 Tf [(introduces modern topics that do not normally appear in mathematical statistics texts but are highly relevant for data scientists, such as Bayesian inference, generalized )] TJ ET
BT 34.016 335.347 Td /F1 15.0 Tf [(linear models for non-normal responses \(e.g., logistic regression and Poisson loglinear models\), and regularized model fitting. The nearly 500 exercises are grouped into )] TJ ET
BT 34.016 317.032 Td /F1 15.0 Tf [("Data Analysis and Applications" and "Methods and Concepts." Appendices introduce R and Python and contain solutions for odd-numbered exercises. The book's )] TJ ET
BT 34.016 298.717 Td /F1 15.0 Tf [(website has expanded R, Python, and Matlab appendices and all data sets from the examples and exercises. Alan Agresti, Distinguished Professor Emeritus at the )] TJ ET
BT 34.016 280.402 Td /F1 15.0 Tf [(University of Florida, is the author of seven books, including Categorical Data Analysis \(Wiley\) and Statistics: The Art and Science of Learning from Data \(Pearson\), and )] TJ ET
BT 34.016 262.087 Td /F1 15.0 Tf [(has presented short courses in 35 countries. His awards include an honorary doctorate from De Montfort University \(UK\) and the Statistician of the Year from the )] TJ ET
BT 34.016 243.772 Td /F1 15.0 Tf [(American Statistical Association \(Chicago chapter\). Maria Kateri, Professor of Statistics and Data Science at the RWTH Aachen University, authored the monograph )] TJ ET
BT 34.016 225.457 Td /F1 15.0 Tf [(Contingency Table Analysis: Methods and Implementation Using R \(Birkhäuser/Springer\) and a textbook on mathematics for economists \(in German\). She has a long-)] TJ ET
BT 34.016 207.142 Td /F1 15.0 Tf [(term experience in teaching statistics courses to students of Data Science, Mathematics, Statistics, Computer Science, and Business Administration and Engineering. )] TJ ET
BT 34.016 188.827 Td /F1 15.0 Tf [("The main goal of this textbook is to present foundational statistical methods and theory that are relevant in the field of data science. The authors depart from the typical )] TJ ET
BT 34.016 170.512 Td /F1 15.0 Tf [(approaches taken by many conventional mathematical statistics textbooks by placing more emphasis on providing the students with intuitive and practical interpretations )] TJ ET
BT 34.016 152.197 Td /F1 15.0 Tf [(of those methods with the aid of R programming codes...I find its particular strength to be its intuitive presentation of statistical theory and methods without getting )] TJ ET
BT 34.016 133.882 Td /F1 15.0 Tf [(bogged down in mathematical details that are perhaps less useful to the practitioners" \(Mintaek Lee, Boise State University\) "The aspects of this manuscript that I find )] TJ ET
BT 34.016 115.567 Td /F1 15.0 Tf [(appealing: 1. The use of real data. 2. The use of R but with the option to use Python. 3. A good mix of theory and practice. 4. The text is well-written with good exercises. )] TJ ET
BT 34.016 97.252 Td /F1 15.0 Tf [(5. The coverage of topics \(e.g. Bayesian methods and clustering\) that are not usually part of a course in statistics at the level of this book." \(Jason M. Graham, )] TJ ET
BT 34.016 78.937 Td /F1 15.0 Tf [(University of Scranton\))] TJ ET
BT 34.016 60.622 Td /F1 15.0 Tf [(Data Analysis Using Regression and Multilevel/Hierarchical Models)] TJ ET
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BT 479.966 60.622 Td /F1 15.0 Tf [( Andrew Gelman 2007 This book, first published in 2007, is for the applied researcher performing )] TJ ET
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BT 34.016 793.222 Td /F1 15.0 Tf [(data analysis using linear and nonlinear regression and multilevel models.)] TJ ET
BT 34.016 774.907 Td /F1 15.0 Tf [(Applied Linear Regression)] TJ ET
BT 209.921 774.907 Td /F1 15.0 Tf [( Sanford Weisberg 2013-06-07 )] TJ ET
BT 34.016 756.592 Td /F1 15.0 Tf [(Categorical Data Analysis)] TJ ET
BT 205.736 756.592 Td /F1 15.0 Tf [( Alan Agresti 2013-04-08 Praise for the Second Edition "A must-have book for anyone expecting to do research and/orapplications in )] TJ ET
BT 34.016 738.277 Td /F1 15.0 Tf [(categorical data analysis." —Statistics in Medicine "It is a total delight reading this book." —Pharmaceutical Research "If you do any analysis of categorical data, this is )] TJ ET
BT 34.016 719.962 Td /F1 15.0 Tf [(anessential desktop reference." —Technometrics The use of statistical methods for analyzing categorical datahas increased dramatically, particularly in the biomedical, )] TJ ET
BT 34.016 701.647 Td /F1 15.0 Tf [(socialsciences, and financial industries. Responding to new developments,this book offers a comprehensive treatment of the most importantmethods for categorical data )] TJ ET
BT 34.016 683.332 Td /F1 15.0 Tf [(analysis. Categorical Data Analysis, Third Edition summarizes thelatest methods for univariate and correlated multivariatecategorical responses. Readers will find a )] TJ ET
BT 34.016 665.017 Td /F1 15.0 Tf [(unified generalizedlinear models approach that connects logistic regression andPoisson and negative binomial loglinear models for discrete datawith normal regression )] TJ ET
BT 34.016 646.702 Td /F1 15.0 Tf [(for continuous data. This edition alsofeatures: An emphasis on logistic and probit regression methods forbinary, ordinal, and nominal responses for independent )] TJ ET
BT 34.016 628.387 Td /F1 15.0 Tf [(observationsand for clustered data with marginal models and random effectsmodels Two new chapters on alternative methods for binary responsedata, including )] TJ ET
BT 34.016 610.072 Td /F1 15.0 Tf [(smoothing and regularization methods,classification methods such as linear discriminant analysis andclassification trees, and cluster analysis New sections introducing )] TJ ET
BT 34.016 591.757 Td /F1 15.0 Tf [(the Bayesian approach for methods inthat chapter More than 100 analyses of data sets and over 600 exercises Notes at the end of each chapter that provide references )] TJ ET
BT 34.016 573.442 Td /F1 15.0 Tf [(torecent research and topics not covered in the text, linked to abibliography of more than 1,200 sources A supplementary website showing how to use R and SAS; for )] TJ ET
BT 34.016 555.127 Td /F1 15.0 Tf [(allexamples in the text, with information also about SPSS and Stataand with exercise solutions Categorical Data Analysis, Third Edition is an invaluabletool for )] TJ ET
BT 34.016 536.812 Td /F1 15.0 Tf [(statisticians and methodologists, such as biostatisticiansand researchers in the social and behavioral sciences, medicine andpublic health, marketing, education, )] TJ ET
BT 34.016 518.497 Td /F1 15.0 Tf [(finance, biological andagricultural sciences, and industrial quality control.)] TJ ET
BT 34.016 500.182 Td /F1 15.0 Tf [(Nonparametric Statistical Methods Using R)] TJ ET
BT 319.931 500.182 Td /F1 15.0 Tf [( John Kloke 2014-10-09 A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric )] TJ ET
BT 34.016 481.867 Td /F1 15.0 Tf [(Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple )] TJ ET
BT 34.016 463.552 Td /F1 15.0 Tf [(location models to general linear and nonlinear models for uncorrelated and correlated responses. The authors emphasize applications and statistical computation. They )] TJ ET
BT 34.016 445.237 Td /F1 15.0 Tf [(illustrate the methods with many real and simulated data examples using R, including the packages Rfit and npsm. The book first gives an overview of the R language )] TJ ET
BT 34.016 426.922 Td /F1 15.0 Tf [(and basic statistical concepts before discussing nonparametrics. It presents rank-based methods for one- and two-sample problems, procedures for regression models, )] TJ ET
BT 34.016 408.607 Td /F1 15.0 Tf [(computation for general fixed-effects ANOVA and ANCOVA models, and time-to-event analyses. The last two chapters cover more advanced material, including high )] TJ ET
BT 34.016 390.292 Td /F1 15.0 Tf [(breakdown fits for general regression models and rank-based inference for cluster correlated data. The book can be used as a primary text or supplement in a course on )] TJ ET
BT 34.016 371.977 Td /F1 15.0 Tf [(applied nonparametric or robust procedures and as a reference for researchers who need to implement nonparametric and rank-based methods in practice. Through )] TJ ET
BT 34.016 353.662 Td /F1 15.0 Tf [(numerous examples, it shows readers how to apply these methods using R.)] TJ ET
BT 34.016 335.347 Td /F1 15.0 Tf [(Statistics for Linguists: An Introduction Using R)] TJ ET
BT 345.806 335.347 Td /F1 15.0 Tf [( Bodo Winter 2019-10-30 Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models )] TJ ET
BT 34.016 317.032 Td /F1 15.0 Tf [(for linguistics. The book covers simple uses of linear models through generalized models to more advanced approaches, maintaining its focus on conceptual issues and )] TJ ET
BT 34.016 298.717 Td /F1 15.0 Tf [(avoiding excessive mathematical details. It contains many applied examples using the R statistical programming environment. Written in an accessible tone and style, )] TJ ET
BT 34.016 280.402 Td /F1 15.0 Tf [(this text is the ideal main resource for graduate and advanced undergraduate students of Linguistics statistics courses as well as those in other fields, including )] TJ ET
BT 34.016 262.087 Td /F1 15.0 Tf [(Psychology, Cognitive Science, and Data Science.)] TJ ET
BT 34.016 243.772 Td /F1 15.0 Tf [(Analysis of Ordinal Categorical Data)] TJ ET
BT 274.931 243.772 Td /F1 15.0 Tf [( Alan Agresti 2012-07-06 Statistical science’s first coordinated manual of methods for analyzing ordered categorical data, now fully )] TJ ET
BT 34.016 225.457 Td /F1 15.0 Tf [(revised and updated, continues to present applications and case studies in fields as diverse as sociology, public health, ecology, marketing, and pharmacy. Analysis of )] TJ ET
BT 34.016 207.142 Td /F1 15.0 Tf [(Ordinal Categorical Data, Second Edition provides an introduction to basic descriptive and inferential methods for categorical data, giving thorough coverage of new )] TJ ET
BT 34.016 188.827 Td /F1 15.0 Tf [(developments and recent methods. Special emphasis is placed on interpretation and application of methods including an integrated comparison of the available )] TJ ET
BT 34.016 170.512 Td /F1 15.0 Tf [(strategies for analyzing ordinal data. Practitioners of statistics in government, industry \(particularly pharmaceutical\), and academia will want this new edition.)] TJ ET
BT 34.016 152.197 Td /F1 15.0 Tf [(An Introduction to Categorical Data Analysis)] TJ ET
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BT 327.476 152.197 Td /F1 15.0 Tf [( Alan Agresti 2018-10-11 A valuable new edition of a standard reference The use of statistical methods for categorical data )] TJ ET
BT 34.016 133.882 Td /F1 15.0 Tf [(has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes )] TJ ET
BT 34.016 115.567 Td /F1 15.0 Tf [(these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and )] TJ ET
BT 34.016 97.252 Td /F1 15.0 Tf [(loglinear models for discrete data with normal regression for continuous data. Adding to the value in the new edition is: • Illustrations of the use of R software to perform )] TJ ET
BT 34.016 78.937 Td /F1 15.0 Tf [(all the analyses in the book • A new chapter on alternative methods for categorical data, including smoothing and regularization methods \(such as the lasso\), )] TJ ET
BT 34.016 60.622 Td /F1 15.0 Tf [(classification methods such as linear discriminant analysis and classification trees, and cluster analysis • New sections in many chapters introducing the Bayesian )] TJ ET
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BT 34.016 793.222 Td /F1 15.0 Tf [(approach for the methods of that chapter • More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other )] TJ ET
BT 34.016 774.907 Td /F1 15.0 Tf [(data sets • An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most odd-numbered exercises Written in an applied, )] TJ ET
BT 34.016 756.592 Td /F1 15.0 Tf [(nontechnical style, this book illustrates the methods using a wide variety of real data, including medical clinical trials, environmental questions, drug use by teenagers, )] TJ ET
BT 34.016 738.277 Td /F1 15.0 Tf [(horseshoe crab mating, basketball shooting, correlates of happiness, and much more. An Introduction to Categorical Data Analysis, Third Edition is an invaluable tool for )] TJ ET
BT 34.016 719.962 Td /F1 15.0 Tf [(statisticians and biostatisticians as well as methodologists in the social and behavioral sciences, medicine and public health, marketing, education, and the biological )] TJ ET
BT 34.016 701.647 Td /F1 15.0 Tf [(and agricultural sciences.)] TJ ET
BT 34.016 683.332 Td /F1 15.0 Tf [(Plane Answers to Complex Questions)] TJ ET
BT 285.776 683.332 Td /F1 15.0 Tf [( Ronald Christensen 2013-11-11 This book was written to rigorously illustrate the practical application of the projective approach to )] TJ ET
BT 34.016 665.017 Td /F1 15.0 Tf [(linear models. To some, this may seem contradictory. I contend that it is possible to be both rigorous and illustrative and that it is possible to use the projective approach )] TJ ET
BT 34.016 646.702 Td /F1 15.0 Tf [(in practical applications. Therefore, unlike many other books on linear models, the use of projections and sub spaces does not stop after the general theory. They are )] TJ ET
BT 34.016 628.387 Td /F1 15.0 Tf [(used wherever I could figure out how to do it. Solving normal equations and using calculus \(outside of maximum likelihood theory\) are anathema to me. This is because )] TJ ET
BT 34.016 610.072 Td /F1 15.0 Tf [(I do not believe that they contribute to the understanding of linear models. I have similar feelings about the use of side conditions. Such topics are mentioned when )] TJ ET
BT 34.016 591.757 Td /F1 15.0 Tf [(appropriate and thenceforward avoided like the plague. On the other side of the coin, I just as strenuously reject teaching linear models with a coordinate free approach. )] TJ ET
BT 34.016 573.442 Td /F1 15.0 Tf [(Although Joe Eaton assures me that the issues in complicated problems frequently become clearer when considered free of coordinate systems, my experience is that )] TJ ET
BT 34.016 555.127 Td /F1 15.0 Tf [(too many people never make the jump from coordinate free theory back to practical applications. I think that coordinate free theory is better tackled after mastering linear )] TJ ET
BT 34.016 536.812 Td /F1 15.0 Tf [(models from some other approach. In particular, I think it would be very easy to pick up the coordinate free approach after learning the material in this book. See Eaton )] TJ ET
BT 34.016 518.497 Td /F1 15.0 Tf [(\(1983\) for an excellent exposition of the coordinate free approach.)] TJ ET
BT 34.016 500.182 Td /F1 15.0 Tf [(Categorical Data Analysis Using SAS, Third Edition)] TJ ET
BT 374.966 500.182 Td /F1 15.0 Tf [( Maura E. Stokes 2012-07-31 Statisticians and researchers will find this book, newly updated for SAS/STAT 12.1, to )] TJ ET
BT 34.016 481.867 Td /F1 15.0 Tf [(be a useful discussion of categorical data analysis techniques as well as an invaluable aid in applying these methods with SAS.)] TJ ET
BT 34.016 463.552 Td /F1 15.0 Tf [(Statistical Methods for the Social Sciences)] TJ ET
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34.016 461.077 m 316.631 461.077 l S
BT 316.631 463.552 Td /F1 15.0 Tf [( Alan Agresti 2013-07-30 The fourth edition has an even stronger emphasis on concepts and applications, with greater )] TJ ET
BT 34.016 445.237 Td /F1 15.0 Tf [(attention to "real data" both in the examples and exercises. The mathematics is still downplayed, in particular probability, which is all too often a stumbling block for )] TJ ET
BT 34.016 426.922 Td /F1 15.0 Tf [(students. On the other hand, the text is not a cookbook. Reliance on an overly simplistic recipe-based approach to statistics is not the route to good statistical practice. )] TJ ET
BT 34.016 408.607 Td /F1 15.0 Tf [(Changes in the Fourth Edition: Since the first edition, the increase in computer power coupled with the continued improvement and accessibility of statistical software )] TJ ET
BT 34.016 390.292 Td /F1 15.0 Tf [(has had a major impact on the way social scientists analyze data. Because of this, this book does not cover the traditional shortcut hand-computational formulas and )] TJ ET
BT 34.016 371.977 Td /F1 15.0 Tf [(approximations. The presentation of computationally complex methods, such as regression, emphasizes interpretation of software output rather than the formulas for )] TJ ET
BT 34.016 353.662 Td /F1 15.0 Tf [(performing the analysis. Teh text contains numerous sample printouts, mainly in the style of SPSS and occasionaly SAS, both in chapter text and homework problems. )] TJ ET
BT 34.016 335.347 Td /F1 15.0 Tf [(This edition also has an appendix explaining how to apply SPSS and SAS to conduct the methods of each chapter and a website giving links to information about other )] TJ ET
BT 34.016 317.032 Td /F1 15.0 Tf [(software.)] TJ ET
BT 34.016 298.717 Td /F1 15.0 Tf [(Exercises in Probability)] TJ ET
BT 189.056 298.717 Td /F1 15.0 Tf [( Loïc Chaumont 2012-07-19 Over 100 exercises with detailed solutions, insightful notes and references for further reading. Ideal for beginning )] TJ ET
BT 34.016 280.402 Td /F1 15.0 Tf [(researchers.)] TJ ET
BT 34.016 262.087 Td /F1 15.0 Tf [(Applied Regression Analysis and Other Multivariable Methods)] TJ ET
BT 445.001 262.087 Td /F1 15.0 Tf [( Kleinbaum 1988-01-01 )] TJ ET
BT 34.016 243.772 Td /F1 15.0 Tf [(Handbook of Regression Modeling in People Analytics)] TJ ET
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34.016 241.297 m 395.006 241.297 l S
BT 395.006 243.772 Td /F1 15.0 Tf [( Keith McNulty 2021-07-29 Despite the recent rapid growth in machine learning and predictive analytics, many of )] TJ ET
BT 34.016 225.457 Td /F1 15.0 Tf [(the statistical questions that are faced by researchers and practitioners still involve explaining why something is happening. Regression analysis is the best ‘swiss army )] TJ ET
BT 34.016 207.142 Td /F1 15.0 Tf [(knife’ we have for answering these kinds of questions. This book is a learning resource on inferential statistics and regression analysis. It teaches how to do a wide )] TJ ET
BT 34.016 188.827 Td /F1 15.0 Tf [(range of statistical analyses in both R and in Python, ranging from simple hypothesis testing to advanced multivariate modelling. Although it is primarily focused on )] TJ ET
BT 34.016 170.512 Td /F1 15.0 Tf [(examples related to the analysis of people and talent, the methods easily transfer to any discipline. The book hits a ‘sweet spot’ where there is just enough mathematical )] TJ ET
BT 34.016 152.197 Td /F1 15.0 Tf [(theory to support a strong understanding of the methods, but with a step-by-step guide and easily reproducible examples and code, so that the methods can be put into )] TJ ET
BT 34.016 133.882 Td /F1 15.0 Tf [(practice immediately. This makes the book accessible to a wide readership, from public and private sector analysts and practitioners to students and researchers. Key )] TJ ET
BT 34.016 115.567 Td /F1 15.0 Tf [(Features: • 16 accompanying datasets across a wide range of contexts \(e.g. academic, corporate, sports, marketing\) • Clear step-by-step instructions on executing the )] TJ ET
BT 34.016 97.252 Td /F1 15.0 Tf [(analyses. • Clear guidance on how to interpret results. • Primary instruction in R but added sections for Python coders. • Discussion exercises and data exercises for )] TJ ET
BT 34.016 78.937 Td /F1 15.0 Tf [(each of the main chapters. • Final chapter of practice material and datasets ideal for class homework or project work.)] TJ ET
BT 34.016 60.622 Td /F1 15.0 Tf [(Foundations and Applications of Statistics)] TJ ET
BT 311.651 60.622 Td /F1 15.0 Tf [( Randall J. Pruim 2011 Foundations and Applications of Statistics simultaneously emphasizes both the foundational and the )] TJ ET
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BT 34.016 793.222 Td /F1 15.0 Tf [(computational aspects of modern statistics. Engaging and accessible, this book is useful to undergraduate students with a wide range of backgrounds and career goals. )] TJ ET
BT 34.016 774.907 Td /F1 15.0 Tf [(The exposition immediately begins with statistics, presenting concepts and results from probability along the way. Hypothesis testing is introduced very early, and the )] TJ ET
BT 34.016 756.592 Td /F1 15.0 Tf [(motivation for several probability distributions comes from p-value computations. Pruim develops the students' practical statistical reasoning through explicit examples )] TJ ET
BT 34.016 738.277 Td /F1 15.0 Tf [(and through numerical and graphical summaries of data that allow intuitive inferences before introducing the formal machinery. The topics have been selected to reflect )] TJ ET
BT 34.016 719.962 Td /F1 15.0 Tf [(the current practice in statistics, where computation is an indispensible tool. In this vein, the statistical computing environment \\mathsf{R} is used throughout the text and )] TJ ET
BT 34.016 701.647 Td /F1 15.0 Tf [(is integral to the exposition. Attention is paid to developing students' mathematical and computational skills as well as their statistical reasoning. Linear models, such as )] TJ ET
BT 34.016 683.332 Td /F1 15.0 Tf [(regression and ANOVA, are treated with explicit reference to the underlying linear algebra, which is motivated geometrically. Foundations and Applications of Statistics )] TJ ET
BT 34.016 665.017 Td /F1 15.0 Tf [(discusses both the mathematical theory underlying statistics and practical applications that make it a powerful tool across disciplines. The book contains ample material )] TJ ET
BT 34.016 646.702 Td /F1 15.0 Tf [(for a two-semester course in undergraduate probability and statistics. A one-semester course based on the book will cover hypothesis testing and confidence intervals )] TJ ET
BT 34.016 628.387 Td /F1 15.0 Tf [(for the most common situations.)] TJ ET
BT 34.016 610.072 Td /F1 15.0 Tf [(Introductory Biostatistics)] TJ ET
BT 196.571 610.072 Td /F1 15.0 Tf [( Chap T. Le 2016-04-13 Maintaining the same accessible and hands-on presentation, Introductory Biostatistics, Second Edition continues to )] TJ ET
BT 34.016 591.757 Td /F1 15.0 Tf [(provide an organized introduction to basic statistical concepts commonly applied in research across the health sciences. With plenty of real-world examples, the new )] TJ ET
BT 34.016 573.442 Td /F1 15.0 Tf [(edition provides a practical, modern approach to the statistical topics found in the biomedical and public health fields. Beginning with an overview of descriptive statistics )] TJ ET
BT 34.016 555.127 Td /F1 15.0 Tf [(in the health sciences, the book delivers topical coverage of probability models, parameter estimation, and hypothesis testing. Subsequently, the book focuses on more )] TJ ET
BT 34.016 536.812 Td /F1 15.0 Tf [(advanced topics with coverage of regression analysis, logistic regression, methods for count data, analysis of survival data, and designs for clinical trials. This extensive )] TJ ET
BT 34.016 518.497 Td /F1 15.0 Tf [(update of Introductory Biostatistics, Second Edition includes: • A new chapter on the use of higher order Analysis of Variance \(ANOVA\) in factorial and block designs • A )] TJ ET
BT 34.016 500.182 Td /F1 15.0 Tf [(new chapter on testing and inference methods for repeatedly measured outcomes including continuous, binary, and count outcomes • R incorporated throughout along )] TJ ET
BT 34.016 481.867 Td /F1 15.0 Tf [(with SAS®, allowing readers to replicate results from presented examples with either software • Multiple additional exercises, with partial solutions available to aid )] TJ ET
BT 34.016 463.552 Td /F1 15.0 Tf [(comprehension of crucial concepts • Notes on Computations sections to provide further guidance on the use of software • A related website that hosts the large data )] TJ ET
BT 34.016 445.237 Td /F1 15.0 Tf [(sets presented throughout the book Introductory Biostatistics, Second Edition is an excellent textbook for upper-undergraduate and graduate students in introductory )] TJ ET
BT 34.016 426.922 Td /F1 15.0 Tf [(biostatistics courses. The book is also an ideal reference for applied statisticians working in the fields of public health, nursing, dentistry, and medicine.)] TJ ET
BT 34.016 408.607 Td /F1 15.0 Tf [(Analysis of Categorical Data with R)] TJ ET
BT 268.256 408.607 Td /F1 15.0 Tf [( Christopher R. Bilder 2014-08-11 Learn How to Properly Analyze Categorical Data Analysis of Categorical Data with R presents a )] TJ ET
BT 34.016 390.292 Td /F1 15.0 Tf [(modern account of categorical data analysis using the popular R software. It covers recent techniques of model building and assessment for binary, multicategory, and )] TJ ET
BT 34.016 371.977 Td /F1 15.0 Tf [(count response variables and discusses fundamentals, such as odds ratio and probability estimation. The authors give detailed advice and guidelines on which )] TJ ET
BT 34.016 353.662 Td /F1 15.0 Tf [(procedures to use and why to use them. The Use of R as Both a Data Analysis Method and a Learning Tool Requiring no prior experience with R, the text offers an )] TJ ET
BT 34.016 335.347 Td /F1 15.0 Tf [(introduction to the essential features and functions of R. It incorporates numerous examples from medicine, psychology, sports, ecology, and other areas, along with )] TJ ET
BT 34.016 317.032 Td /F1 15.0 Tf [(extensive R code and output. The authors use data simulation in R to help readers understand the underlying assumptions of a procedure and then to evaluate the )] TJ ET
BT 34.016 298.717 Td /F1 15.0 Tf [(procedure’s performance. They also present many graphical demonstrations of the features and properties of various analysis methods. Web Resource The data sets )] TJ ET
BT 34.016 280.402 Td /F1 15.0 Tf [(and R programs from each example are available at www.chrisbilder.com/categorical. The programs include code used to create every plot and piece of output. Many of )] TJ ET
BT 34.016 262.087 Td /F1 15.0 Tf [(these programs contain code to demonstrate additional features or to perform more detailed analyses than what is in the text. Designed to be used in tandem with the )] TJ ET
BT 34.016 243.772 Td /F1 15.0 Tf [(book, the website also uniquely provides videos of the authors teaching a course on the subject. These videos include live, in-class recordings, which instructors may )] TJ ET
BT 34.016 225.457 Td /F1 15.0 Tf [(find useful in a blended or flipped classroom setting. The videos are also suitable as a substitute for a short course.)] TJ ET
BT 34.016 207.142 Td /F1 15.0 Tf [(Foundations of Statistics for Data Scientists)] TJ ET
BT 323.306 207.142 Td /F1 15.0 Tf [( Alan Agresti 2021-11-22 Foundations of Statistics for Data Scientists: With R and Python is designed as a textbook for a )] TJ ET
BT 34.016 188.827 Td /F1 15.0 Tf [(one- or two-term introduction to mathematical statistics for students training to become data scientists. It is an in-depth presentation of the topics in statistical science )] TJ ET
BT 34.016 170.512 Td /F1 15.0 Tf [(with which any data scientist should be familiar, including probability distributions, descriptive and inferential statistical methods, and linear modeling. The book assumes )] TJ ET
BT 34.016 152.197 Td /F1 15.0 Tf [(knowledge of basic calculus, so the presentation can focus on "why it works" as well as "how to do it." Compared to traditional "mathematical statistics" textbooks, )] TJ ET
BT 34.016 133.882 Td /F1 15.0 Tf [(however, the book has less emphasis on probability theory and more emphasis on using software to implement statistical methods and to conduct simulations to )] TJ ET
BT 34.016 115.567 Td /F1 15.0 Tf [(illustrate key concepts. All statistical analyses in the book use R software, with an appendix showing the same analyses with Python. The book also introduces modern )] TJ ET
BT 34.016 97.252 Td /F1 15.0 Tf [(topics that do not normally appear in mathematical statistics texts but are highly relevant for data scientists, such as Bayesian inference, generalized linear models for )] TJ ET
BT 34.016 78.937 Td /F1 15.0 Tf [(non-normal responses \(e.g., logistic regression and Poisson loglinear models\), and regularized model fitting. The nearly 500 exercises are grouped into "Data Analysis )] TJ ET
BT 34.016 60.622 Td /F1 15.0 Tf [(and Applications" and "Methods and Concepts." Appendices introduce R and Python and contain solutions for odd-numbered exercises. The book's website has )] TJ ET
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BT 34.016 793.222 Td /F1 15.0 Tf [(expanded R, Python, and Matlab appendices and all data sets from the examples and exercises.)] TJ ET
BT 34.016 774.907 Td /F1 15.0 Tf [(Applied Categorical and Count Data Analysis)] TJ ET
BT 333.311 774.907 Td /F1 15.0 Tf [( Wan Tang 2012-06-04 Developed from the authors’ graduate-level biostatistics course, Applied Categorical and Count )] TJ ET
BT 34.016 756.592 Td /F1 15.0 Tf [(Data Analysis explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. The authors describe the basic ideas )] TJ ET
BT 34.016 738.277 Td /F1 15.0 Tf [(underlying each concept, model, and approach to give readers a good grasp of the fundamentals of the methodology without using rigorous mathematical arguments. )] TJ ET
BT 34.016 719.962 Td /F1 15.0 Tf [(The text covers classic concepts and popular topics, such as contingency tables, logistic models, and Poisson regression models, along with modern areas that include )] TJ ET
BT 34.016 701.647 Td /F1 15.0 Tf [(models for zero-modified count outcomes, parametric and semiparametric longitudinal data analysis, reliability analysis, and methods for dealing with missing values. R, )] TJ ET
BT 34.016 683.332 Td /F1 15.0 Tf [(SAS, SPSS, and Stata programming codes are provided for all the examples, enabling readers to immediately experiment with the data in the examples and even adapt )] TJ ET
BT 34.016 665.017 Td /F1 15.0 Tf [(or extend the codes to fit data from their own studies. Designed for a one-semester course for graduate and senior undergraduate students in biostatistics, this self-)] TJ ET
BT 34.016 646.702 Td /F1 15.0 Tf [(contained text is also suitable as a self-learning guide for biomedical and psychosocial researchers. It will help readers analyze data with discrete variables in a wide )] TJ ET
BT 34.016 628.387 Td /F1 15.0 Tf [(range of biomedical and psychosocial research fields.)] TJ ET
BT 34.016 610.072 Td /F1 15.0 Tf [(An Introduction to Categorical Data Analysis)] TJ ET
BT 327.476 610.072 Td /F1 15.0 Tf [( Alan Agresti 2007-03-23 Praise for the First Edition "This is a superb text from which to teach categorical data analysis, at a )] TJ ET
BT 34.016 591.757 Td /F1 15.0 Tf [(variety of levels. . . [t]his book can be very highly recommended." —Short Book Reviews "Of great interest to potential readers is the variety of fields that are )] TJ ET
BT 34.016 573.442 Td /F1 15.0 Tf [(represented in the examples: health care, financial, government, product marketing, and sports, to name a few." —Journal of Quality Technology "Alan Agresti has )] TJ ET
BT 34.016 555.127 Td /F1 15.0 Tf [(written another brilliant account of the analysis of categorical data." —The Statistician The use of statistical methods for categorical data is ever increasing in today's )] TJ ET
BT 34.016 536.812 Td /F1 15.0 Tf [(world. An Introduction to Categorical Data Analysis, Second Edition provides an applied introduction to the most important methods for analyzing categorical data. This )] TJ ET
BT 34.016 518.497 Td /F1 15.0 Tf [(new edition summarizes methods that have long played a prominent role in data analysis, such as chi-squared tests, and also places special emphasis on logistic )] TJ ET
BT 34.016 500.182 Td /F1 15.0 Tf [(regression and other modeling techniques for univariate and correlated multivariate categorical responses. This Second Edition features: Two new chapters on the )] TJ ET
BT 34.016 481.867 Td /F1 15.0 Tf [(methods for clustered data, with an emphasis on generalized estimating equations \(GEE\) and random effects models A unified perspective based on generalized linear )] TJ ET
BT 34.016 463.552 Td /F1 15.0 Tf [(models An emphasis on logistic regression modeling An appendix that demonstrates the use of SAS\(r\) for all methods An entertaining historical perspective on the )] TJ ET
BT 34.016 445.237 Td /F1 15.0 Tf [(development of the methods Specialized methods for ordinal data, small samples, multicategory data, and matched pairs More than 100 analyses of real data sets and )] TJ ET
BT 34.016 426.922 Td /F1 15.0 Tf [(nearly 300 exercises Written in an applied, nontechnical style, the book illustrates methods using a wide variety of real data, including medical clinical trials, drug use by )] TJ ET
BT 34.016 408.607 Td /F1 15.0 Tf [(teenagers, basketball shooting, horseshoe crab mating, environmental opinions, correlates of happiness, and much more. An Introduction to Categorical Data Analysis, )] TJ ET
BT 34.016 390.292 Td /F1 15.0 Tf [(Second Edition is an invaluable tool for social, behavioral, and biomedical scientists, as well as researchers in public health, marketing, education, biological and )] TJ ET
BT 34.016 371.977 Td /F1 15.0 Tf [(agricultural sciences, and industrial quality control.)] TJ ET
BT 34.016 353.662 Td /F1 15.0 Tf [(Bayesian Data Analysis, Third Edition)] TJ ET
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34.016 351.187 m 284.111 351.187 l S
BT 284.111 353.662 Td /F1 15.0 Tf [( Andrew Gelman 2013-11-01 Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, )] TJ ET
BT 34.016 335.347 Td /F1 15.0 Tf [(lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied )] TJ ET
BT 34.016 317.032 Td /F1 15.0 Tf [(approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic )] TJ ET
BT 34.016 298.717 Td /F1 15.0 Tf [(perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of )] TJ ET
BT 34.016 280.402 Td /F1 15.0 Tf [(Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding )] TJ ET
BT 34.016 262.087 Td /F1 15.0 Tf [(priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative )] TJ ET
BT 34.016 243.772 Td /F1 15.0 Tf [(simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three )] TJ ET
BT 34.016 225.457 Td /F1 15.0 Tf [(different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current )] TJ ET
BT 34.016 207.142 Td /F1 15.0 Tf [(approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. )] TJ ET
BT 34.016 188.827 Td /F1 15.0 Tf [(Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.)] TJ ET
BT 34.016 170.512 Td /F1 15.0 Tf [(Structural Equations with Latent Variables)] TJ ET
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BT 312.476 170.512 Td /F1 15.0 Tf [( Kenneth A. Bollen 2014-08-28 Analysis of Ordinal Categorical Data Alan Agresti Statistical Science Now has its first )] TJ ET
BT 34.016 152.197 Td /F1 15.0 Tf [(coordinated manual of methods for analyzing ordered categorical data. This book discusses specialized models that, unlike standard methods underlying nominal )] TJ ET
BT 34.016 133.882 Td /F1 15.0 Tf [(categorical data, efficiently use the information on ordering. It begins with an introduction to basic descriptive and inferential methods for categorical data, and then gives )] TJ ET
BT 34.016 115.567 Td /F1 15.0 Tf [(thorough coverage of the most current developments, such as loglinear and logit models for ordinal data. Special emphasis is placed on interpretation and application of )] TJ ET
BT 34.016 97.252 Td /F1 15.0 Tf [(methods and contains an integrated comparison of the available strategies for analyzing ordinal data. This is a case study work with illuminating examples taken from )] TJ ET
BT 34.016 78.937 Td /F1 15.0 Tf [(across the wide spectrum of ordinal categorical applications. 1984 \(0 471-89055-3\) 287 pp. Regression Diagnostics Identifying Influential Data and Sources of )] TJ ET
BT 34.016 60.622 Td /F1 15.0 Tf [(Collinearity David A. Belsley, Edwin Kuh and Roy E. Welsch This book provides the practicing statistician and econometrician with new tools for assessing the quality )] TJ ET
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BT 34.016 793.222 Td /F1 15.0 Tf [(and reliability of regression estimates. Diagnostic techniques are developed that aid in the systematic location of data points that are either unusual or inordinately )] TJ ET
BT 34.016 774.907 Td /F1 15.0 Tf [(influential; measure the presence and intensity of collinear relations among the regression data and help to identify the variables involved in each; and pinpoint the )] TJ ET
BT 34.016 756.592 Td /F1 15.0 Tf [(estimated coefficients that are potentially most adversely affected. The primary emphasis of these contributions is on diagnostics, but suggestions for remedial action )] TJ ET
BT 34.016 738.277 Td /F1 15.0 Tf [(are given and illustrated. 1980 \(0 471-05856-4\) 292 pp. Applied Regression Analysis Second Edition Norman Draper and Harry Smith Featuring a significant expansion )] TJ ET
BT 34.016 719.962 Td /F1 15.0 Tf [(of material reflecting recent advances, here is a complete and up-to-date introduction to the fundamentals of regression analysis, focusing on understanding the latest )] TJ ET
BT 34.016 701.647 Td /F1 15.0 Tf [(concepts and applications of these methods. The authors thoroughly explore the fitting and checking of both linear and nonlinear regression models, using small or large )] TJ ET
BT 34.016 683.332 Td /F1 15.0 Tf [(data sets and pocket or high-speed computing equipment. Features added to this Second Edition include the practical implications of linear regression; the Durbin-)] TJ ET
BT 34.016 665.017 Td /F1 15.0 Tf [(Watson test for serial correlation; families of transformations; inverse, ridge, latent root and robust regression; and nonlinear growth models. Includes many new )] TJ ET
BT 34.016 646.702 Td /F1 15.0 Tf [(exercises and worked examples. 1981 \(0 471-02995-5\) 709 pp.)] TJ ET
BT 34.016 628.387 Td /F1 15.0 Tf [(Statistical Intervals)] TJ ET
BT 159.056 628.387 Td /F1 15.0 Tf [( William Q. Meeker 2017-04-10 Describes statistical intervals to quantify sampling uncertainty,focusing on key application needs and recently )] TJ ET
BT 34.016 610.072 Td /F1 15.0 Tf [(developed methodology in an easy-to-apply format Statistical intervals provide invaluable tools for quantifying sampling uncertainty. The widely hailed first edition, )] TJ ET
BT 34.016 591.757 Td /F1 15.0 Tf [(published in 1991, described the use and construction of the most important statistical intervals. Particular emphasis was given to intervals—such as prediction intervals, )] TJ ET
BT 34.016 573.442 Td /F1 15.0 Tf [(tolerance intervals and confidence intervals on distribution quantiles—frequently needed in practice, but often neglected in introductory courses. Vastly improved )] TJ ET
BT 34.016 555.127 Td /F1 15.0 Tf [(computer capabilities over the past 25 years have resulted in an explosion of the tools readily available to analysts. This second edition—more than double the size of )] TJ ET
BT 34.016 536.812 Td /F1 15.0 Tf [(the first—adds these new methods in an easy-to-apply format. In addition to extensive updating of the original chapters, the second edition includes new chapters on: )] TJ ET
BT 34.016 518.497 Td /F1 15.0 Tf [(Likelihood-based statistical intervals Nonparametric bootstrap intervals Parametric bootstrap and other simulation-based intervals An introduction to Bayesian intervals )] TJ ET
BT 34.016 500.182 Td /F1 15.0 Tf [(Bayesian intervals for the popular binomial, Poisson and normal distributions Statistical intervals for Bayesian hierarchical models Advanced case studies, further )] TJ ET
BT 34.016 481.867 Td /F1 15.0 Tf [(illustrating the use of the newly described methods New technical appendices provide justification of the methods and pathways to extensions and further applications. A )] TJ ET
BT 34.016 463.552 Td /F1 15.0 Tf [(webpage directs readers to current readily accessible computer software and other useful information. Statistical Intervals: A Guide for Practitioners and Researchers, )] TJ ET
BT 34.016 445.237 Td /F1 15.0 Tf [(Second Edition is an up-to-date working guide and reference for all who analyze data, allowing them to quantify the uncertainty in their results using statistical intervals.)] TJ ET
BT 34.016 426.922 Td /F1 15.0 Tf [(Predictive Modeling with SAS Enterprise Miner)] TJ ET
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BT 344.111 426.922 Td /F1 15.0 Tf [( Kattamuri S. Sarma 2017-07-20 « Written for business analysts, data scientists, statisticians, students, predictive )] TJ ET
BT 34.016 408.607 Td /F1 15.0 Tf [(modelers, and data miners, this comprehensive text provides examples that will strengthen your understanding of the essential concepts and methods of predictive )] TJ ET
BT 34.016 390.292 Td /F1 15.0 Tf [(modeling. »--)] TJ ET
BT 34.016 371.977 Td /F1 15.0 Tf [(Compositional Data Analysis)] TJ ET
BT 224.906 371.977 Td /F1 15.0 Tf [( Vera Pawlowsky-Glahn 2011-09-19 Compositional Data Analysis: Theory and Applications Edited by Vera Pawlowsky-Glahn, Department )] TJ ET
BT 34.016 353.662 Td /F1 15.0 Tf [(of Computer Science and Applied Mathematics, University of Girona, Spain. Antonella Buccianti, Department of Earth Sciences, University of Florence, Italy It is difficult )] TJ ET
BT 34.016 335.347 Td /F1 15.0 Tf [(to imagine that the statistical analysis of compositional data has been a major issue of concern for more than 100 years. It is even more difficult to realize that so many )] TJ ET
BT 34.016 317.032 Td /F1 15.0 Tf [(statisticians and users of statistics are unaware of the particular problems affecting compositional data, as well as their solutions. The issue of spurious correlation'', as )] TJ ET
BT 34.016 298.717 Td /F1 15.0 Tf [(the situation was phrased by Karl Pearson back in 1897, affects all data that measures parts of some whole, such as percentages, proportions, ppm and ppb. Such )] TJ ET
BT 34.016 280.402 Td /F1 15.0 Tf [(measurements are present in all fields of science, ranging from geology, biology, environmental sciences, forensic sciences, medicine and hydrology. This book )] TJ ET
BT 34.016 262.087 Td /F1 15.0 Tf [(presents the history and development of compositional data analysis along with Aitchison's log-ratio approach. "Compositional Data Analysis" describes the state of the )] TJ ET
BT 34.016 243.772 Td /F1 15.0 Tf [(art both in theoretical fields as well as applications in the different fields of science. Key Features: - Reflects the state-of-the-art in compositional data analysis. - Gives )] TJ ET
BT 34.016 225.457 Td /F1 15.0 Tf [(an overview of the historical development of compositional data analysis, as well as basic concepts and procedures. - Looks at advances in algebra and calculus on the )] TJ ET
BT 34.016 207.142 Td /F1 15.0 Tf [(simplex. - Presents applications in different fields of science, including, genomics, ecology, biology, geochemistry, planetology, chemistry and economics. - Explores )] TJ ET
BT 34.016 188.827 Td /F1 15.0 Tf [(connections to correspondence analysis and the Dirichlet distribution. - Presents a summary of three available software packages for compositional data analysis. - )] TJ ET
BT 34.016 170.512 Td /F1 15.0 Tf [(Supported by an accompanying website featuring R code. Applied scientists working on compositional data analysis in any field of science, both in academia and )] TJ ET
BT 34.016 152.197 Td /F1 15.0 Tf [(professionals will benefit from this book, along with graduate students in any field of science working with compositional data.)] TJ ET
BT 34.016 133.882 Td /F1 15.0 Tf [(Applied Predictive Modeling)] TJ ET
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34.016 131.407 m 219.086 131.407 l S
BT 219.086 133.882 Td /F1 15.0 Tf [( Max Kuhn 2013-05-17 Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data )] TJ ET
BT 34.016 115.567 Td /F1 15.0 Tf [(preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and )] TJ ET
BT 34.016 97.252 Td /F1 15.0 Tf [(classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many )] TJ ET
BT 34.016 78.937 Td /F1 15.0 Tf [(hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to )] TJ ET
BT 34.016 60.622 Td /F1 15.0 Tf [(predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling )] TJ ET
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BT 34.016 793.222 Td /F1 15.0 Tf [(courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for )] TJ ET
BT 34.016 774.907 Td /F1 15.0 Tf [(a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of )] TJ ET
BT 34.016 756.592 Td /F1 15.0 Tf [(the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. )] TJ ET
BT 34.016 738.277 Td /F1 15.0 Tf [(Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a )] TJ ET
BT 34.016 719.962 Td /F1 15.0 Tf [(mathematical background is needed for advanced topics.)] TJ ET
BT 34.016 701.647 Td /F1 15.0 Tf [(An Introduction to Modern Nonparametric Statistics)] TJ ET
BT 373.316 701.647 Td /F1 15.0 Tf [( James J. Higgins 2004 Guided by problems that frequently arise in actual practice, James Higgins’ book presents a )] TJ ET
BT 34.016 683.332 Td /F1 15.0 Tf [(wide array of nonparametric methods of data analysis that researchers will find useful. It discusses a variety of nonparametric methods and, wherever possible, stresses )] TJ ET
BT 34.016 665.017 Td /F1 15.0 Tf [(the connection between methods. For instance, rank tests are introduced as special cases of permutation tests applied to ranks. The author provides coverage of topics )] TJ ET
BT 34.016 646.702 Td /F1 15.0 Tf [(not often found in nonparametric textbooks, including procedures for multivariate data, multiple regression, multi-factor analysis of variance, survival data, and curve )] TJ ET
BT 34.016 628.387 Td /F1 15.0 Tf [(smoothing. This truly modern approach teaches non-majors how to analyze and interpret data with nonparametric procedures using today’s computing technology.)] TJ ET
BT 34.016 610.072 Td /F1 15.0 Tf [(The Statistical Sleuth)] TJ ET
BT 174.911 610.072 Td /F1 15.0 Tf [( Fred L. Ramsey 2002 Prepare for exams and succeed in your statistics course with this comprehensive solutions manual! Featuring worked out-)] TJ ET
BT 34.016 591.757 Td /F1 15.0 Tf [(solutions to the problems in THE STATISTICAL SLEUTH: A COURSE IN METHODS OF DATA ANALYSIS, 2nd Edition, this manual shows you how to approach and )] TJ ET
BT 34.016 573.442 Td /F1 15.0 Tf [(solve problems using the same step-by-step explanations found in your textbook examples.)] TJ ET
BT 34.016 555.127 Td /F1 15.0 Tf [(Making Sense of Data II)] TJ ET
BT 194.096 555.127 Td /F1 15.0 Tf [( Glenn J. Myatt 2009-03-04 A hands-on guide to making valuable decisions from data using advanced data mining methods and techniques This )] TJ ET
BT 34.016 536.812 Td /F1 15.0 Tf [(second installment in the Making Sense of Data series continues to explore a diverse range of commonly used approaches to making and communicating decisions )] TJ ET
BT 34.016 518.497 Td /F1 15.0 Tf [(from data. Delving into more technical topics, this book equips readers with advanced data mining methods that are needed to successfully translate raw data into smart )] TJ ET
BT 34.016 500.182 Td /F1 15.0 Tf [(decisions across various fields of research including business, engineering, finance, and the social sciences. Following a comprehensive introduction that details how to )] TJ ET
BT 34.016 481.867 Td /F1 15.0 Tf [(define a problem, perform an analysis, and deploy the results, Making Sense of Data II addresses the following key techniques for advanced data analysis: Data )] TJ ET
BT 34.016 463.552 Td /F1 15.0 Tf [(Visualization reviews principles and methods for understanding and communicating data through the use of visualization including single variables, the relationship )] TJ ET
BT 34.016 445.237 Td /F1 15.0 Tf [(between two or more variables, groupings in data, and dynamic approaches to interacting with data through graphical user interfaces. Clustering outlines common )] TJ ET
BT 34.016 426.922 Td /F1 15.0 Tf [(approaches to clustering data sets and provides detailed explanations of methods for determining the distance between observations and procedures for clustering )] TJ ET
BT 34.016 408.607 Td /F1 15.0 Tf [(observations. Agglomerative hierarchical clustering, partitioned-based clustering, and fuzzy clustering are also discussed. Predictive Analytics presents a discussion on )] TJ ET
BT 34.016 390.292 Td /F1 15.0 Tf [(how to build and assess models, along with a series of predictive analytics that can be used in a variety of situations including principal component analysis, multiple )] TJ ET
BT 34.016 371.977 Td /F1 15.0 Tf [(linear regression, discriminate analysis, logistic regression, and Naïve Bayes. Applications demonstrates the current uses of data mining across a wide range of )] TJ ET
BT 34.016 353.662 Td /F1 15.0 Tf [(industries and features case studies that illustrate the related applications in real-world scenarios. Each method is discussed within the context of a data mining process )] TJ ET
BT 34.016 335.347 Td /F1 15.0 Tf [(including defining the problem and deploying the results, and readers are provided with guidance on when and how each method should be used. The related Web site )] TJ ET
BT 34.016 317.032 Td /F1 15.0 Tf [(for the series \(www.makingsenseofdata.com\) provides a hands-on data analysis and data mining experience. Readers wishing to gain more practical experience will )] TJ ET
BT 34.016 298.717 Td /F1 15.0 Tf [(benefit from the tutorial section of the book in conjunction with the TraceisTM software, which is freely available online. With its comprehensive collection of advanced )] TJ ET
BT 34.016 280.402 Td /F1 15.0 Tf [(data mining methods coupled with tutorials for applications in a range of fields, Making Sense of Data II is an indispensable book for courses on data analysis and data )] TJ ET
BT 34.016 262.087 Td /F1 15.0 Tf [(mining at the upper-undergraduate and graduate levels. It also serves as a valuable reference for researchers and professionals who are interested in learning how to )] TJ ET
BT 34.016 243.772 Td /F1 15.0 Tf [(accomplish effective decision making from data and understanding if data analysis and data mining methods could help their organization.)] TJ ET
BT 34.016 225.457 Td /F1 15.0 Tf [(Linear Models in Statistics)] TJ ET
BT 208.241 225.457 Td /F1 15.0 Tf [( Alvin C. Rencher 2008-01-18 The essential introduction to the theory and application of linear models—now in a valuable new edition Since )] TJ ET
BT 34.016 207.142 Td /F1 15.0 Tf [(most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to move forward to more advanced )] TJ ET
BT 34.016 188.827 Td /F1 15.0 Tf [(concepts. The linear model remains the main tool of the applied statistician and is central to the training of any statistician regardless of whether the focus is applied or )] TJ ET
BT 34.016 170.512 Td /F1 15.0 Tf [(theoretical. This completely revised and updated new edition successfully develops the basic theory of linear models for regression, analysis of variance, analysis of )] TJ ET
BT 34.016 152.197 Td /F1 15.0 Tf [(covariance, and linear mixed models. Recent advances in the methodology related to linear mixed models, generalized linear models, and the Bayesian linear model are )] TJ ET
BT 34.016 133.882 Td /F1 15.0 Tf [(also addressed. Linear Models in Statistics, Second Edition includes full coverage of advanced topics, such as mixed and generalized linear models, Bayesian linear )] TJ ET
BT 34.016 115.567 Td /F1 15.0 Tf [(models, two-way models with empty cells, geometry of least squares, vector-matrix calculus, simultaneous inference, and logistic and nonlinear regression. Algebraic, )] TJ ET
BT 34.016 97.252 Td /F1 15.0 Tf [(geometrical, frequentist, and Bayesian approaches to both the inference of linear models and the analysis of variance are also illustrated. Through the expansion of )] TJ ET
BT 34.016 78.937 Td /F1 15.0 Tf [(relevant material and the inclusion of the latest technological developments in the field, this book provides readers with the theoretical foundation to correctly interpret )] TJ ET
BT 34.016 60.622 Td /F1 15.0 Tf [(computer software output as well as effectively use, customize, and understand linear models. This modern Second Edition features: New chapters on Bayesian linear )] TJ ET
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BT 34.016 793.222 Td /F1 15.0 Tf [(models as well as random and mixed linear models Expanded discussion of two-way models with empty cells Additional sections on the geometry of least squares )] TJ ET
BT 34.016 774.907 Td /F1 15.0 Tf [(Updated coverage of simultaneous inference The book is complemented with easy-to-read proofs, real data sets, and an extensive bibliography. A thorough review of )] TJ ET
BT 34.016 756.592 Td /F1 15.0 Tf [(the requisite matrix algebra has been addedfor transitional purposes, and numerous theoretical and applied problems have been incorporated with selected answers )] TJ ET
BT 34.016 738.277 Td /F1 15.0 Tf [(provided at the end of the book. A related Web site includes additional data sets and SAS® code for all numerical examples. Linear Model in Statistics, Second Edition )] TJ ET
BT 34.016 719.962 Td /F1 15.0 Tf [(is a must-have book for courses in statistics, biostatistics, and mathematics at the upper-undergraduate and graduate levels. It is also an invaluable reference for )] TJ ET
BT 34.016 701.647 Td /F1 15.0 Tf [(researchers who need to gain a better understanding of regression and analysis of variance.)] TJ ET
BT 34.016 683.332 Td /F1 15.0 Tf [(Discrete Data Analysis with R)] TJ ET
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34.016 680.857 m 230.726 680.857 l S
BT 230.726 683.332 Td /F1 15.0 Tf [( Michael Friendly 2015-12-16 An Applied Treatment of Modern Graphical Methods for Analyzing Categorical DataDiscrete Data Analysis )] TJ ET
BT 34.016 665.017 Td /F1 15.0 Tf [(with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, )] TJ ET
BT 34.016 646.702 Td /F1 15.0 Tf [(both discrete response data and frequency data. It explains how to use graphical meth)] TJ ET
BT 34.016 628.387 Td /F1 15.0 Tf [(An Introduction to Statistics with Python)] TJ ET
BT 297.476 628.387 Td /F1 15.0 Tf [( Thomas Haslwanter 2016-07-20 This textbook provides an introduction to the free software Python and its use for statistical )] TJ ET
BT 34.016 610.072 Td /F1 15.0 Tf [(data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and )] TJ ET
BT 34.016 591.757 Td /F1 15.0 Tf [(Bayesian statistics. Working code and data for Python solutions for each test, together with easy-to-follow Python examples, can be reproduced by the reader and )] TJ ET
BT 34.016 573.442 Td /F1 15.0 Tf [(reinforce their immediate understanding of the topic. With recent advances in the Python ecosystem, Python has become a popular language for scientific computing, )] TJ ET
BT 34.016 555.127 Td /F1 15.0 Tf [(offering a powerful environment for statistical data analysis and an interesting alternative to R. The book is intended for master and PhD students, mainly from the life )] TJ ET
BT 34.016 536.812 Td /F1 15.0 Tf [(and medical sciences, with a basic knowledge of statistics. As it also provides some statistics background, the book can be used by anyone who wants to perform a )] TJ ET
BT 34.016 518.497 Td /F1 15.0 Tf [(statistical data analysis.)] TJ ET
BT 34.016 500.182 Td /F1 15.0 Tf [(Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS)] TJ ET
BT 593.426 500.182 Td /F1 15.0 Tf [( Robert Ho 2006-03-24 Many statistics texts tend to focus more on the theory and )] TJ ET
BT 34.016 481.867 Td /F1 15.0 Tf [(mathematics underlying statistical tests than on their applications and interpretation. This can leave readers with little understanding of how to apply statistical tests or )] TJ ET
BT 34.016 463.552 Td /F1 15.0 Tf [(how to interpret their findings. While the SPSS statistical software has done much to alleviate the frustrations of s)] TJ ET
BT 34.016 445.237 Td /F1 15.0 Tf [(An Introduction to Categorical Data Analysis)] TJ ET
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34.016 442.762 m 327.476 442.762 l S
BT 327.476 445.237 Td /F1 15.0 Tf [( Alan Agresti 2018-11-20 A valuable new edition of a standard reference The use of statistical methods for categorical data )] TJ ET
BT 34.016 426.922 Td /F1 15.0 Tf [(has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes )] TJ ET
BT 34.016 408.607 Td /F1 15.0 Tf [(these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and )] TJ ET
BT 34.016 390.292 Td /F1 15.0 Tf [(loglinear models for discrete data with normal regression for continuous data. Adding to the value in the new edition is: • Illustrations of the use of R software to perform )] TJ ET
BT 34.016 371.977 Td /F1 15.0 Tf [(all the analyses in the book • A new chapter on alternative methods for categorical data, including smoothing and regularization methods \(such as the lasso\), )] TJ ET
BT 34.016 353.662 Td /F1 15.0 Tf [(classification methods such as linear discriminant analysis and classification trees, and cluster analysis • New sections in many chapters introducing the Bayesian )] TJ ET
BT 34.016 335.347 Td /F1 15.0 Tf [(approach for the methods of that chapter • More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other )] TJ ET
BT 34.016 317.032 Td /F1 15.0 Tf [(data sets • An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most odd-numbered exercises Written in an applied, )] TJ ET
BT 34.016 298.717 Td /F1 15.0 Tf [(nontechnical style, this book illustrates the methods using a wide variety of real data, including medical clinical trials, environmental questions, drug use by teenagers, )] TJ ET
BT 34.016 280.402 Td /F1 15.0 Tf [(horseshoe crab mating, basketball shooting, correlates of happiness, and much more. An Introduction to Categorical Data Analysis, Third Edition is an invaluable tool for )] TJ ET
BT 34.016 262.087 Td /F1 15.0 Tf [(statisticians and biostatisticians as well as methodologists in the social and behavioral sciences, medicine and public health, marketing, education, and the biological )] TJ ET
BT 34.016 243.772 Td /F1 15.0 Tf [(and agricultural sciences.)] TJ ET
BT 36.266 197.045 Td /F1 8.0 Tf [(alan-agresti-categorical-data-analysis-solutions)] TJ ET
BT 913.276 197.252 Td /F1 8.0 Tf [(Downloaded from )] TJ ET
BT 978.188 197.045 Td /F1 8.0 Tf [(equityoffice.com)] TJ ET
BT 1035.988 197.252 Td /F1 8.0 Tf [( on September 29, 2022 by guest)] TJ ET
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