Model fitting of zero-inflated and overdispersed count data

Researchers often encounter data which exhibit an excess number of zeroes than would be expected in a Poisson or negative binominal model. This is referred to as zero-inflation. Additionally, data may display excess variability or overdispersion. Failure to model zero-inflation and overdispersion ma...

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Bibliographic Details
Main Authors: Andan, Jacqueline S., Cortez, Andrea P.
Format: text
Published: Animo Repository 2010
Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/11326
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Institution: De La Salle University