Analysis of Ordinal Categorical Data ( Wiley Series in Probability and Statistics )

Publication series ：Wiley Series in Probability and Statistics

Author： Alan Agresti  

Publisher： John Wiley & Sons Inc‎

Publication year： 2012

E-ISBN: 9780470593998

P-ISBN(Hardback):  9780470082898

Subject： O212.4 Multivariate Analyses

Language： ENG

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Description

Statistical science’s first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues to present applications and case studies in fields as diverse as sociology, public health, ecology, marketing, and pharmacy. Analysis of Ordinal Categorical Data, Second Edition provides an introduction to basic descriptive and inferential methods for categorical data, giving thorough coverage of new developments and recent methods. Special emphasis is placed on interpretation and application of methods including an integrated comparison of the available strategies for analyzing ordinal data. Practitioners of statistics in government, industry (particularly pharmaceutical), and academia will want this new edition.

Chapter

Contents

pp.：  7 – 11

Preface

pp.：  11 – 15

1. Introduction

pp.：  15 – 23

2. Ordinal Probabilities, Scores, and Odds Ratios

pp.：  23 – 58

3. Logistic Regression Models Using Cumulative Logits

pp.：  58 – 102

4. Other Ordinal Logistic Regression Models

pp.：  102 – 132

5. Other Ordinal Multinomial Response Models

pp.：  132 – 159

6. Modeling Ordinal Association Structure

pp.：  159 – 198

7. Non-Model-Based Analysis of Ordinal Association

pp.：  198 – 239

8. Matched-Pairs Data with Ordered Categories

pp.：  239 – 276

9. Clustered Ordinal Responses: Marginal Models

pp.：  276 – 295

10. Clustered Ordinal Responses: Random Effects Models

pp.：  295 – 329

11. Bayesian Inference for Ordinal Response Data

pp.：  329 – 359

Appendix Software for Analyzing Ordinal Categorical Data

pp.：  359 – 373

Bibliography

pp.：  373 – 403

Example Index

pp.：  403 – 405

Subject Index

pp.：  405 – 420

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