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Modeling zero-inflated count series with application to occupational health

✍ Scribed by Kelvin K.W. Yau; Andy H. Lee; Philip J.W. Carrivick


Book ID
114175443
Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
135 KB
Volume
74
Category
Article
ISSN
0169-2607

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## Abstract This paper describes a framework for flexibly modeling zero‐inflated data. Semiparametric regression based on penalized regression splines for zero‐inflated Poisson models is introduced. Moreover, an EM‐type algorithm is developed to perform maximum likelihood estimation. As an illustra