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Log-Linear Models and Logistic Regression (Springer Texts in Statistics) PDF

501 Pages·1997·1.992 MB·English
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by Ronald Christensen| 1997| 501 pages| 1.992| English

About Log-Linear Models and Logistic Regression (Springer Texts in Statistics)

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.

Detailed Information

Author:Ronald Christensen
Publication Year:1997
ISBN:9780387226248
Pages:501
Language:English
File Size:1.992
Format:PDF
Price:FREE
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