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dc.contributor.authorSaffari, Seyed Ehsan
dc.contributor.authorAdnan, Robiah
dc.contributor.authorGreene, William
dc.identifier.citationSaffari, Seyed Ehsan; Adnan, Robiah; Greene, William. Hurdle negative binomial regression model with right censored count data. "SORT", vol. 36, núm. 2, p. 181-194.
dc.description.abstractA Poisson model typically is assumed for count data. In many cases because of many zeros in the response variable, the mean is not equal to the variance value of the dependent variable. Therefore, the Poisson model is no longer suitable for this kind of data. Thus, we suggest using a hurdle negative binomial regression model to overcome the problem of overdispersion. Furthermore, the response variable in such cases is censored for some values. In this paper, a censored hurdle negative binomial regression model is introduced on count data with many zeros. The estimation of regression parameters using maximum likelihood is discussed and the goodness-of-fit for the regression model is examined
dc.format.extent14 p.
dc.publisherInstitut d'Estadística de Catalunya
dc.relation.ispartofSORT. 2012, vol. 36, núm. 2
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
dc.subject.lcshMathematical statistics
dc.subject.lcshRegression analysis
dc.subject.otherhurdle negative binomial regression
dc.subject.othercensored data
dc.subject.othermaximum likelihood method
dc.titleHurdle negative binomial regression model with right censored count data
dc.subject.lemacEstadística matemàtica
dc.description.peerreviewedPeer Reviewed
dc.subject.amsClassificació AMS::62 Statistics::62J Linear inference, regression
dc.rights.accessOpen Access
local.citation.authorSaffari, Seyed Ehsan; Adnan, Robiah; Greene, William

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