dc.contributor.author Saffari, S. dc.contributor.author Adnan, R. dc.contributor.author Greene, William dc.contributor.author Ahmad, M. dc.date.accessioned 2017-06-23T02:59:54Z dc.date.available 2017-06-23T02:59:54Z dc.date.created 2017-06-19T03:39:39Z dc.date.issued 2013 dc.identifier.citation Saffari, S. and Adnan, R. and Greene, W. and Ahmad, M. 2013. A poisson regression model for analysis of censored count data with excess zeroes. Jurnal Teknologi (Sciences and Engineering). 63 (2): pp. 71-74. dc.identifier.uri http://hdl.handle.net/20.500.11937/53422 dc.identifier.doi 10.11113/jt.v63.1915 dc.description.abstract Typically, a Poisson regression model is assumed for count data. In many cases, there are many zeros in the dependent variable, therefore the mean is not equal to the variance value of the dependent variable. Thus, we suggest using a hurdle and zero-inflated Poisson regression model. Furthermore, the response variable in such cases is censored for some values. In this paper, a censored hurdle Poisson regression model and a censored zero-inflated Poisson regression model will be discussed to handle the overdispersion problem when there are excess zeros in the response variable. The estimation of regression parameters using the maximum likelihood method is discussed and the goodness-of-fit statistics for the regression model are examined. An example and a simulation will be used to compare the censored hurdle Poisson regression model with the censored zero-inflated Poisson regression model in terms of the parameter estimation, standard errors and the goodness-of-fit statistics. dc.title A poisson regression model for analysis of censored count data with excess zeroes dc.type Journal Article dcterms.source.volume 63 dcterms.source.number 2 dcterms.source.startPage 71 dcterms.source.endPage 74 dcterms.source.issn 0127-9696 dcterms.source.title Jurnal Teknologi (Sciences and Engineering) curtin.department School of Economics and Finance curtin.accessStatus Fulltext not available
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