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Generalized hurdle count data regression models

✍ Scribed by Shiferaw Gurmu


Book ID
117333124
Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
47 KB
Volume
58
Category
Article
ISSN
0165-1765

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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