An Introduction to Categorical Data Analysis 2/e
作者：Alan Agresti
原價：NT$ 1,950
內容介紹
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Description
The first edition of this text has sold over 19,600 copies. However, the use of statistical methods for categorical data has increased dramatically in recent years, particularly for applications in the biomedical and social sciences. A second edition of the introductory version of the book will suit it nicely. Wiley also published a second edition of Categorical Data Analysis, which is an advanced, more technical text, in 2003.
New to This Edition
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Second edition of one of the best-selling books on categorical data analysis, from one of the most authoritative authors in the field.
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Features new chapters on marginal models, including the generalized estimating equations (GEE) approach and random effects models.
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Already existing material, including SAS and SPSS data sets, is updated to reflect technical advances since the publication of the first edition.
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Introductory material on generalized linear models will now include information on negative binomial regression.
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Written on a relatively low technical level and does not require familiarity with advanced mathematics such as calculus or matrix algebra.
Table of Contents
Preface to the Second Edition.
1. Introduction.
2. Contingency Tables.
3. Generalized Linear Models.
4. Logistic Regression.
5. Building and Applying Logistic Regression Models.
6. Multicategory Logit Models.
7. Loglinear Models for Contingency Tables.
8. Models for Matched Pairs.
9. Modeling Correlated, Clustered Responses.
10. Random Effects: Generalized Linear Mixed Models.
11. A Historical Tour of Categorical Data Analysis.
ALAN AGRESTI, PhD, is Distinguished Professor Emeritus in the Department of Statistics at the University of Florida. He has presented short courses on categorical data methods in thirty countries. Dr. Agresti was named "Statistician of the Year" by the Chicago chapter of the American Statistical Association in 2003. He is the author of two advanced texts, including the bestselling Categorical Data Analysis (Wiley) and is also the coauthor of Statistics: The Art and Science of Learning from Data and Statistical Methods for the Social Sciences.
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