Handling of Over-Dispersion of Count Data via Truncation using Poisson Regression Model
dc.contributor.author | Saffari, S.E. | |
dc.contributor.author | Adnan, R. | |
dc.contributor.author | Greene, William | |
dc.date.accessioned | 2017-01-30T12:07:43Z | |
dc.date.available | 2017-01-30T12:07:43Z | |
dc.date.created | 2016-09-22T12:04:51Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | Saffari, S.E. and Adnan, R. and Greene, W. 2011. Handling of Over-Dispersion of Count Data via Truncation using Poisson Regression Model. Journal of Computer Science & Computational Mathematics. 1 (1): pp. 1-4. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/18413 | |
dc.description.abstract |
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 values. In this paper, a Poisson regression model is introduced on truncated data. In this model, we consider a response variable and one or more than one explanatory variables. The estimation of regression parameters using the maximum likelihood method is discussed and the goodness-of-fit for the regression model is examined. We study the effects of truncation in terms of parameters estimation and their standard errors via real data. | |
dc.publisher | Sandkrs Sdn Bhd | |
dc.relation.uri | http://www.jcscm.net/fmgr/download.php?id=1705649 | |
dc.subject | truncation | |
dc.subject | - parameter estimation | |
dc.subject | over-dispersion | |
dc.subject | Poisson regression | |
dc.title | Handling of Over-Dispersion of Count Data via Truncation using Poisson Regression Model | |
dc.type | Journal Article | |
dcterms.source.volume | 1 | |
dcterms.source.number | 1 | |
dcterms.source.startPage | 1 | |
dcterms.source.endPage | 4 | |
dcterms.source.issn | 2231-8879 | |
dcterms.source.title | Journal of Computer Science & Computational Mathematics | |
curtin.department | School of Economics and Finance | |
curtin.accessStatus | Fulltext not available |
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