Chapter 13. Other Mixture Models for Categorical Data
Published Online: 26 MAR 2003
DOI: 10.1002/0471249688.ch13
Copyright © 2002 John Wiley & Sons, Inc.
Book Title
Categorical Data Analysis, Second Edition
Additional Information
How to Cite
Agresti, A. (2003) Other Mixture Models for Categorical Data, in Categorical Data Analysis, Second Edition, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/0471249688.ch13
Publication History
- Published Online: 26 MAR 2003
- Published Print: 3 JUL 2002
Book Series:
ISBN Information
Print ISBN: 9780471360933
Online ISBN: 9780471249689
- Summary
- Chapter
Keywords:
- latent class model;
- nonparametric random effects;
- mixtures of logistic regression;
- overdispersion;
- beta-binomial;
- negative binomial;
- Poisson regression;
- random effects
Summary
Chapter 13 presents other mixture models for categorical data. It first introduces latent class models and then considers a related nonparametric random effects approach to modeling. It then presents established mixture models for binary and count data, using beta-binomial and negative binomial distributions for regression. The chapter finishes with an introduction to Poisson regression with random effects.