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Logit Modeling: Practical Applications / Edition 1
     

Logit Modeling: Practical Applications / Edition 1

by Alfred DeMaris, Michael S. Lewis-Beck
 

ISBN-10: 0803943776

ISBN-13: 9780803943773

Pub. Date: 06/06/1992

Publisher: SAGE Publications

Logit Modeling 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, De Maris begins by describing the logit model in the context of the general

Overview

Logit Modeling 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, De Maris 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, De Maris emphasizes interpretation of results. The book concludes with an extension of logistic regression to dependent variables with more than two categories.

Product Details

ISBN-13:
9780803943773
Publisher:
SAGE Publications
Publication date:
06/06/1992
Series:
Quantitative Applications in the Social Sciences Series , #86
Edition description:
New Edition
Pages:
96
Product dimensions:
5.50(w) x 8.50(h) x 0.19(d)

Related Subjects

Table of Contents

Introduction
Logit Models
Theoretical Background
Logit Models for Multidimensional Tables
Logistic Regression
Advanced Topics in Logistic Regression

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