Log-Linear Models and Logistic Regression (Paperback, 2nd ed. 1997. Softcover reprint of the original 2nd ed. 1997)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Texts in Statistics
Release date:	March 2013
First published:	1997
Authors:	Ronald Christensen
Dimensions:	235 x 155 x 26mm (L x W x T)
Format:	Paperback
Pages:	484
Edition:	2nd ed. 1997. Softcover reprint of the original 2nd ed. 1997
ISBN-13:	978-1-4757-7113-8
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Algebra > General Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN:	1-4757-7113-4
Barcode:	9781475771138

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