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A Random-Effects Model for Ordered Categorical Data

 

作者: Robert Crouchley,  

 

期刊: Journal of the American Statistical Association  （Taylor Available online 1995）
卷期: Volume 90, issue 430  

页码: 489-498

 

ISSN:0162-1459

 

年代: 1995

 

DOI:10.1080/01621459.1995.10476540

 

出版商: Taylor & Francis Group

 

关键词: Clustered data;Complementary log-log link;Multivariate responses;Ordinal data;Random effects

 

数据来源: Taylor

 

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.

 

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