A RANDOM-EFFECTS MODEL FOR ORDERED CATEGORICAL-DATA

• 成果类型: Article
• 署名作者: CROUCHLEY, R
• 刊物名称: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
• ISSN/ISSBN: 0162-1459
• DOI: 10.2307/2291059
• 发表日期: 1995
• 页码: 489-498
• 关键词: maximum likelihood estimation; longitudinal data; linear-models; ordinal data; bivariate

摘要

This article presents a random-effects model for multivariate and grouped univariate ordered categorical data. The assumed family of distributions for the random effects adopts a wide variety of forms and shapes. The model's likelihood has a closed expression and can be computed without recourse to numerical integration or Gaussian quadrature. A bivariate and a grouped univariate example are used to illustrate the proposed model.