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Generalized Linear Models for Categorical and Continuous Limited Dependent Variables

By Michael Smithson, Edgar C. Merkle

To Be Published September 4th 2013 by Chapman and Hall/CRC – 312 pages

Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

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    978-1-46-655173-2
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Description

Designed for graduate students and researchers in the behavioral, social, health, and medical sciences, this text employs generalized linear models, including mixed models, for categorical and limited dependent variables. Categorical variables include both nominal and ordinal variables. Discrete or continuous limited dependent variables have restricted support, whether through censorship or truncation or by their nature. The book incorporates examples of truncated counts, censored continuous variables, and doubly bounded continuous variables, such as percentages.

Contents

Introduction and Overview. DISCRETE VARIABLES: Binary. Nominal Multi-Category. Ordinal-Categorical. Count Data. CONTINUOUS VARIABLES: Doubly Bounded. Censored and Truncated. EXTENSIONS: Multi-Level Models. Bayesian MCMC Estimation. Appendices. Web-Based Supplementary Materials.

Name: Generalized Linear Models for Categorical and Continuous Limited Dependent Variables (Hardback) – Chapman and Hall/CRC 
Description: By Michael Smithson, Edgar C. Merkle. Designed for graduate students and researchers in the behavioral, social, health, and medical sciences, this text employs generalized linear models, including mixed models, for categorical and limited dependent variables. Categorical variables include...
Categories: Regression Analysis and Multivariate Statistics, Statistics for the Biological Sciences, Statistical Theory & Methods