Saffari, S. E. and Adnan, R. and Greene, W. (2012) Hurdle negative binomial regression model with right censored count data. SORT, 36 (2). pp. 181194. ISSN 16962281

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Abstract
A 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 goodnessoffit for the regression model is examined.
Item Type:  Article 

Uncontrolled Keywords:  censored data, count datum, dependent variables 
Subjects:  Q Science > QA Mathematics 
Divisions:  Science 
ID Code:  47059 
Deposited By:  Narimah Nawil 
Deposited On:  22 Jun 2015 05:56 
Last Modified:  05 Mar 2019 02:03 
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