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 |
Language: | English |
Published: |
Animo Repository
2010
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Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/etd_bachelors/5335 |
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Institution: | De La Salle University |
Language: | English |
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