Handling of over-dispersion of count data via truncation using zero-inflated poisson regression model
A Poisson model typically is assumed for count data. It is assumed to have the same value for expe ctation and variance in a Poisson distribution, but most of the time there is over - dispersion in the model. Furthermore, the response variable in such cases is truncated for s...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/45910/ https://www.researchgate.net/publication/257246180_Handling_of_Over-dispersion_of_Count_Data_via_Truncation_using_Poisson_Regression_Model |
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