- Volume 14 Issue 1
The Zero-Inflated Poisson regression is a model for count data with exess zeros. When the reponse variables have excess zeros, it is not easy to apply the Poisson regression model. In this paper, we study and simulate the zero-inflated Poisson regression model. An real example was applied to this model. Regression parameters are estimated by using MLE's. We also compare the fitness of zero-inflated Poisson model with the Poisson regression and decision tree model.
- Technometrics v.34 Zero-Inflated Poisson Regression, With an Application to Defects in Manufacturing Diane Lambert
- unpublished technical report, University of California, Generalized Linear Models for Altered Zero Probabilities and Overdispersion in Count Data Heilborn, D.C.
- Distributions in Statistics: Discrete Distributions Johnson, N.L.;Kotz, S.
- Journal of the Indian Statistical Association v.1 A Note on Inflated Poisson Distribution Singh, S.N.
- Canadian Journal of Statistical v.14 Mixture Models in Survival Analysis: Are They Worth the Risk? Farewll, V.T.
- Computer Journal v.7 An Efficient Method for Finding the Minimum of a Function of Several Variables without Calculating Dervatives Powell, M.J.D.
- Technometrics v.41 no.1 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.
- Proceedings of the International in Mixtures of Discrete distributions Estimation in Mixtures of Discrete distributions Cohen, A. C.
- Numerical Recipes in Fortran Press, W.H.;Teukolsky, S.A.;Vetterling, W.T.;Flannery, B.P.
- SAS Enterprise Miner을 위한 데이터마이닝 강현철(외 4인)