Generalized Poisson-Poisson Mixture Model for Misreported Counts with an Application to Smoking Data

Journal of Data Science

article

Mavis Pararai¹  Felix Famoye² 

[1] Indiana University of Pennsylvania;Central Michigan University

关键词: Generalized Poisson regression;    regression;    underreporting;   

DOI  :  10.6339/JDS.2010.08(4).608

学科分类：土木及结构工程学

来源: JDS

【 摘 要 】

The assumption that is usually made when modeling count data is that the response variable, which is the count, is correctly reported. Some counts might be over- or under-reported. We derive the Generalized PoissonPoisson mixture regression (GPPMR) model that can handle accurate, underreported and overreported counts. The parameters in the model will be estimated via the maximum likelihood method. We apply the GPPMR model to a real-life data set.

【 授权许可】

CC BY