✦ LIBER ✦

Flexible Bivariate Count Data Regression Models

✍ Scribed by Gurmu, Shiferaw; Elder, John

Book ID: 125548049
Publisher: American Statistical Association
Year: 2012
Tongue: English
Weight: 281 KB
Volume: 30
Category: Article
ISSN: 0735-0015
DOI: 10.1080/07350015.2011.638816

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## Abstract In this article, nonlinear regression models for correlated count data are examined. Correlation within clusters is modelled by a multivariate Gaussian mixing process on the log‐expectation scale. The regression parameters and the variance‐covariance parameters of the mixing process are