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An Introduction to Categorical Data Analysis(2版)
作者：
Agresti
分類：
財經投資
／
統計
出版社：
華泰文化
出版日期：2007/5/8
ISBN：0471226185
書籍編號：kk0177612
頁數：400
定價：
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<b><font color="#aa0000">內容簡介</font></b> The use of statistical methods for categorical data is ever increasing in today's world. An Introduction to Categorical Data Analysis, Second Edition provides an applied introduction to the most important methods for analyzing categorical data. This 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 regression and other modeling techniques for univariate and correlated multivariate categorical responses. This Second Edition features: 1.Two new chapters on the methods for clustered data, with an emphasis on generalized estimating equations (GEE) and random effects models 2.A unified perspective based on generalized linear models 3.An emphasis on logistic regression modeling 4.An appendix that demonstrates the use of SASR for all methods 5.An entertaining historical perspective on the development of the methods 6.Specialized methods for ordinal data, small samples, multicategory data, and matched pairs 7.More than 100 analyses of real data sets and 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 teenagers, basketball shooting, horseshoe crab mating, environmental opinions, correlates of happiness, and much more. An Introduction to Categorical Data Analysis, Second Edition is an invaluable tool for social, behavioral, and biomedical scientists, as well as researchers in public health, marketing, education, biological and agricultural sciences, and industrial quality control. <b><font color="#aa0000">目錄</font></b> Ch 1. Introduction. Ch 2. Contingency Tables. Ch 3. Generalized Linear Models. Ch 4. Logistic Regression. Ch 5. Building and Applying Logistic Regression Models. Ch 6. Multicategory Logit Models. Ch 7. Loglinear Models for Contingency Tables. Ch 8. Models for Matched Pairs. Ch 9. Modelling Correlated, Clustered Responses. Ch 10. Random Effects: Generaizaed Linear Mixed Models. Ch 11. A Historical Tour of Cataegorical Data Analysis. Appendix A: Software for Categorical Data Analysis. Appendix B: Table of Chi-Squared Distribution Values. Bibliography. Index of Examples. Subject Index.
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