|aAn introduction to categorical data analysis /|cAlan Agresti.
250
|a2nd ed.
260
|aHoboken, NJ :|bWiley-Interscience,|cc2007.
300
|axvii, 372 p. :|bill. ;|c25 cm.
440
0
|aWiley series in probability and mathematical statistics
500
|aIncludes indexes.
504
|aIncludes bibliographical references (p. 344-345) and indexes.
505
0
|a1. 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. Modelling correlated, clustered responses -- 10. Random effects : generalized linear mixed models -- 11. A historical tour of categorical data analysis -- App. Chi-squared distribution values.
506
|aElectronic version is restricted to subscribing institutions.
520
1
|a"Written in an applied, nontechnical style, this 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."--BOOK JACKET.
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