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Synopsis
The primary focus here is on log-linear models for contingency tables, but in this second edition, greater emphasis has been placed on logistic regression. The book explores topics such as logistic discrimination and generalised linear models, and builds upon the relationships between these basic models for continuous data and the analogous log-linear and logistic regression models for discrete data. It also carefully examines the differences in model interpretations and evaluations that occur due to the discrete nature of the data. Sample commands are given for analyses in SAS, BMFP, and GLIM, while numerous data sets from fields as diverse as engineering, education, sociology, and medicine are used to illustrate procedures and provide exercises. Throughoutthe book, the treatment is designed for students with prior knowledge of analysis of variance and regression.
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- PublisherSpringer
- Publication date1997
- ISBN 10 0387982477
- ISBN 13 9780387982472
- BindingHardcover
- LanguageEnglish
- Edition number2
- Number of pages500
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Log-Linear Models and Logistic Regression
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Hardcover. Condition: Near fine. Second Edition. Springer Texts in Statistics. xv, 483 p. 24 cm. Numerous figures. Hardcover. Small dent in bottom of front board. Topics: two-dimensional tables and simple logistic regression; three-dimensional tables; logistic regression, logit models; independence relationships and graphical models; models for factors with quantitative levels; fixed and random zeros; generalized linear models; the matrix approach to log-linear models; matrix approach to logit models; Bayesian binomial regression; etc. Index. Seller Inventory # 116387
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