"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
Generalized Linear Models for Categorical and Continuous Limited Dependent Variables
โ Scribed by Michael Smithson (Author); Edgar C. Merkle (Author)
- Publisher
- Chapman and Hall/CRC
- Year
- 2013
- Leaves
- 300
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Generalized Linear Models for Categorical and Continuous Limited Dependent Variables is designed for graduate students and researchers in the behavioral, social, health, and medical sciences. It incorporates examples of truncated counts, censored continuous variables, and doubly bounded continuous variables, such as percentages.The book provides br
โฆ Table of 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.
โฆ Subjects
Behavioral Sciences;Psychological Science;Psychological Methods & Statistics;Bioscience;Biology;Statistics for the Biological Sciences;Mathematics & Statistics;Statistics & Probability;Statistics;Statistical Theory & Methods
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