Handling of Over-Dispersion of Count Data via Truncation using Poisson Regression Model

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Handling of Over-Dispersion of Count Data via Truncation using Poisson Regression Model

A Poisson model typically is assumed for count data. It is assumed to have the same value for expectation 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 some outliers or large v...

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Bibliographic Details
Main Authors:	Saffari, S.E., Adnan, R., Greene, William
Format:	Journal Article
Published:	Sandkrs Sdn Bhd 2011
Subjects:	truncation - parameter estimation over-dispersion Poisson regression
Online Access:	http://www.jcscm.net/fmgr/download.php?id=1705649 http://hdl.handle.net/20.500.11937/18413

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