The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will fin
Introduction to categorical data analysis
โ Scribed by Agresti, Alan
- Publisher
- John Wiley & Sons
- Year
- 2019
- Tongue
- English
- Leaves
- 390
- Series
- Wiley series in probability and statistics
- Edition
- Third edition
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
"A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes 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 loglinear models for discrete data with normal regression for continuous data"--Publisher's description.;Analyzing contingency tables -- Generalized linear models -- Logistic regression -- Building and applying binary regression models -- Multicategory logit models -- Loglinear models for contingency tables and counts -- Models for matched pairs -- Marginal modeling of correlated, clustered responses -- Random effects : generalized linear mixed models -- Classification and smoothing -- A historical tour of categorical data analysis.
โฆ Table of Contents
Series Page......Page 3
Title Page......Page 4
Copyright......Page 5
Contents......Page 6
Preface......Page 10
About the Companion Website......Page 14
1 Introduction......Page 16
2 Analyzing Contingency Tables......Page 40
3 Generalized Linear Models......Page 80
4 Logistic Regression......Page 104
5 Building and Applying Logistic Regression Models......Page 138
6 Multicategory Logit Models......Page 174
7 Loglinear Models for Contingency Tables and Counts......Page 208
8 Models for Matched Pairs......Page 242
9 Marginal Modeling of Correlated, Clustered Responses......Page 268
10 Random Effects: Generalized Linear Mixed Models......Page 288
11 Classification and Smoothing......Page 314
12 A Historical Tour of Categorical Data Analysis......Page 340
Appendix: Software for Categorical Data Analysis......Page 346
Brief Solutions to Odd-Numbered Exercises......Page 364
Bibliography......Page 378
Examples Index......Page 380
Subject Index......Page 384
โฆ Subjects
MATHEMATICS--Applied;MATHEMATICS--Probability & Statistics--General;Multivariate analysis;Electronic books;MATHEMATICS -- Applied;MATHEMATICS -- Probability & Statistics -- General
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