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Semiparametric zero‐inflated Poisson models with application to animal abundance studies
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 illustration, a study of animal abundance is tackled. In fact, abundance often shows excess of zeroes and is a complicated function of the explanatory variables. In particular, the relationships between avian abundance and environmental variables indicating land use are tackled. Copyright © 2007 John Wiley & Sons, Ltd.
Semiparametric zero‐inflated Poisson models with application to animal abundance studies
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 illustration, a study of animal abundance is tackled. In fact, abundance often shows excess of zeroes and is a complicated function of the explanatory variables. In particular, the relationships between avian abundance and environmental variables indicating land use are tackled. Copyright © 2007 John Wiley & Sons, Ltd.
Semiparametric zero‐inflated Poisson models with application to animal abundance studies
Chiogna, Monica (author) / Gaetan, Carlo (author)
Environmetrics ; 18 ; 303-314
2007-05-01
12 pages
Article (Journal)
Electronic Resource
English
Semiparametric zero-inflated Poisson models with application to animal abundance studies
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