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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| Main Authors: | , |
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| Format: | text |
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Animo Repository
2010
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| Online Access: | https://animorepository.dlsu.edu.ph/etd_bachelors/11326 |
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| Institution: | De La Salle University |