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Structured additive regression for overdispersed and zero-inflated count data

✍ Scribed by Ludwig Fahrmeir; Leyre Osuna Echavarría


Publisher
John Wiley and Sons
Year
2006
Tongue
English
Weight
874 KB
Volume
22
Category
Article
ISSN
1524-1904

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## Abstract In many biometrical applications, the count data encountered often contain extra zeros relative to the Poisson distribution. Zero‐inflated Poisson regression models are useful for analyzing such data, but parameter estimates may be seriously biased if the nonzero observations are over‐d