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    A poisson regression model for analysis of censored count data with excess zeroes

    Access Status
    Fulltext not available
    Authors
    Saffari, S.
    Adnan, R.
    Greene, William
    Ahmad, M.
    Date
    2013
    Type
    Journal Article
    
    Metadata
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    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.
    Source Title
    Jurnal Teknologi (Sciences and Engineering)
    DOI
    10.11113/jt.v63.1915
    ISSN
    0127-9696
    School
    School of Economics and Finance
    URI
    http://hdl.handle.net/20.500.11937/53422
    Collection
    • Curtin Research Publications
    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.

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