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Regression Models for Categorical and Limited Dependent Variables : ADVANCED QUANTITATIVE TECHNIQUES IN THE SOCIAL SCIENCES - J. Scott Long

Regression Models for Categorical and Limited Dependent Variables

ADVANCED QUANTITATIVE TECHNIQUES IN THE SOCIAL SCIENCES

Hardcover

Published: 9th January 1997
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A unified treatment of the most useful models for categorical and limited dependent variables (CLDVs) is provided in this book. Throughout, the links among the models are made explicit, and common methods of derivation, interpretation and testing are applied. In addition, the author explains how models relate to linear regression models whenever possible.

"Regression Models for Categorical and Limited Dependent Variables excels at explaining applications of nonlinear regression models. . . The book provides much practical guidance for the estimation, identification, and validation of models for CLDVs. Each chapter is interspersed with exercises and helpful questions. In summary, the author exceeds his goal to provide `a firm foundation' for further reading from the vast and growing literature on limited and categorical dependent variables." -- Ulf Bockenholt * Chance *

Introduction
Continuous Outcomes
Binary Outcomes
Testing and Fit
Ordinal Outcomes
Nominal Outcomes
Limited Outcomes
Count Outcomes
Conclusions
Table of Contents provided by Ingram. All Rights Reserved.

ISBN: 9780803973749
ISBN-10: 0803973748
Series: ADVANCED QUANTITATIVE TECHNIQUES IN THE SOCIAL SCIENCES
Audience: Tertiary; University or College
Format: Hardcover
Language: English
Number Of Pages: 328
Published: 9th January 1997
Publisher: SAGE Publications Inc
Country of Publication: US
Dimensions (cm): 24.77 x 16.51  x 2.54
Weight (kg): 0.66