T�tulo: Log-Linear Models and Logistic Regression (Springer Texts in Statistics)
Editor: Springer
Fecha de publicaci�n: 2013
Idioma: Ingl�s
ISBN 10: 1475771134
ISBN 13: 9781475771138
Encuadernaci�n: Encuadernaci�n de tapa blanda
Edici�n: 2� Edici�n
Estado: New

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Sinopsis

This book will serve as a reference and a graduate textbook in the area of categorical data analysis. It includes data sets from engineering, education, sociology, and medicine. Professor Christensen is the successful author of four graduate-level texts.

Rese�a del editor

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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