Analysis of Food Poisoning via Zero Inflation Models

  • Jung, Hwan-Sik ;
  • Kim, Byung-Jip ;
  • Cho, Sin-Sup ;
  • Yeo, In-Kwon
  • Received : 2012.05.30
  • Accepted : 2012.09.18
  • Published : 2012.10.31


Poisson regression and negative binomial regression are usually used to analyze counting data; however, these models are unsuitable for fit zero-inflated data that contain unexpected zero-valued observations. In this paper, we review the zero-inflated regression in which Bernoulli process and the counting process are hierarchically mixed. It is known that zero-inflated regression can efficiently model the over-dispersion problem. Vuong statistic is employed to compare performances of the zero-inflated models with other standard models.


Negative binomial regression;Poisson regression;Vuong statistic


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