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    Investigating the impact of excess zeros on hurdle-generalized Poisson regression model with right censored count data

    Access Status
    Fulltext not available
    Authors
    Saffari, S.
    Adnan, R.
    Greene, William
    Date
    2013
    Type
    Journal Article
    
    Metadata
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    Citation
    Saffari, S. and Adnan, R. and Greene, W. 2013. Investigating the impact of excess zeros on hurdle-generalized Poisson regression model with right censored count data. Statistica Neerlandica. 67 (1): pp. 67-80.
    Source Title
    Statistica Neerlandica
    DOI
    10.1111/j.1467-9574.2012.00532.x
    ISSN
    0039-0402
    School
    School of Economics and Finance
    URI
    http://hdl.handle.net/20.500.11937/53150
    Collection
    • Curtin Research Publications
    Abstract

    Typically, a Poisson model is assumed for count data. In many cases, there are many zeros in the dependent variable, thus the mean is not equal to the variance value of the dependent variable. Therefore, Poisson model is not suitable anymore for this kind of data because of too many zeros. Thus, we suggest using a hurdle-generalized Poisson regression model. Furthermore, the response variable in such cases is censored for some values because of some big values. A censored hurdle-generalized Poisson regression model is introduced on count data with many zeros in this paper. The estimation of regression parameters using the maximum likelihood method is discussed and the goodness-of-fit for the regression model is examined. An example and a simulation will be used to illustrate the effects of right censoring on the parameter estimation and their standard errors.

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      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 ...
    • Parameter estimation on hurdle poisson regression model with censored data
      Greene, William; Saffari, S.E.; Adnan, R. (2012)
      A Poisson model typically is assumed for count data. In many cases, there are many zeros in the dependent variable and because of these many zeros, the mean and the variance values of the dependent variable are not the ...
    • Parameter estimation on hurdle poisson regression model with censored data
      Saffari, S.; Adnan, R.; Greene, William (2012)
      A Poisson model typically is assumed for count data. In many cases, there are many zeros in the dependent variable and because of these many zeros, the mean and the variance values of the dependent variable are not the ...
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