Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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An application to Multivariate Zero-Inflated Poisson Regression Model

  • Published : 2003.05.31
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Abstract

The Zero-Inflated Poisson regression is a model for count data with exess zeros. When the correlated response variables are intrested, we have to extend the univariate zero-inflated regression model to multivariate model. In this paper, we study and simulate the multivariate zero-inflated regression model. A real example was applied to this model. Regression parameters are estimated by using MLE's. We also compare the fitness of multivariate zero-inflated Poisson regression model with the decision tree model.

Keywords

References

  1. SAS Enterprise Miner을 위한 데이터마이닝 강현철(외 4인)
  2. Technometrics v.34 Zero-inflated Poisson regression, with an Application to Defects in Manufacturing Lambert, D.
  3. unpublished technical report, University of California, Dept. of Epidemioly and Bioestadistics, Generalized Linear Models for Altered Zero Probabilities and Overdispersion in Count Data Heilbron, D.C.
  4. Distributions in Statistics : Discrete Distributions Johnson, N.L.;Kotz, S.
  5. Technometrics v.41 Multivariate Zero-Inflated Poisson Models and Their Applications Li, C.H.;Lu, J.C.;Park, J.H.;Kim, K.M.;Brinkly, P.A.;Peterson, J.P.
  6. Generalized Linear Models McCullah, P.;Nelder, J.A.
  7. Computer Journal v.7 An Efficient Method for Finding the Minimum of a Function of Several Variables without Calculating Derivatives Powell, M.J.D.
  8. Numerical Recipes in Fortran Press, W.H.;Teukolsky, S.A.;Vetterling, W.T.;Flannery, B.P.
  9. Journal of the Indian Statistical Association v.1 A Note on Inflated Poisson Distribution Singh, S.N.