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Logit Modeling
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Logit Modeling
Practical Applications

Volume: 86
July 1992 | 96 pages | SAGE Publications, Inc
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Logit modelling represents a breakthrough for researchers because it offers ways for more efficient estimation of models with multiple categorical variables, particularly whenever the measurement assumptions for classical multiple regression fail to be met. Taking an applied approach, DeMaris begins by describing the logit model in the context of the general loglinear model, moving its application from two-way to multidimensional tables. He then divides the rest of the book between an examination of the varieties of logit models for contingency tables and logistic regression. Throughout his coverage of both these major areas, DeMaris emphasizes interpretation of results. The book concludes with an extension of logistic regression to dependent variables with more than two categories.
 
Introduction
 
Logit Models
Theoretical Background

 
 
Logit Models for Multidimensional Tables
 
Logistic Regression
 
Advanced Topics in Logistic Regression

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ISBN: 9780803943773
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