Minimum hellinger distance estimation for finite mixtures of Poisson regression models and its applications

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	Minimum hellinger distance estimation for finite mixtures of Poisson regression models and its applications
	Lu, Z ; Van Hui, Y ; Lee, AH
	2003-12-01
发表期刊	BIOMETRICS
ISSN	0006-341X
卷号	59 期号:4 页码:1016-1026
摘要	Minimum Hellinger distance estimation (MHDE) has been shown to discount anomalous data points in a smooth manner with first-order efficiency for a correctly specified model. An estimation approach is proposed for finite mixtures of Poisson regression models based on MHDE. Evidence from Monte Carlo simulations suggests that MHDE is a viable alternative to the maximum likelihood estimator when the mixture components are not well separated or the model parameters are near zero. Biometrical applications also illustrate the practical usefulness of the MHDE method.
关键词	finite mixtures of Poisson regression models maximum likelihood estimation minimum Hellinger distance outliers robustness
语种	英语
WOS研究方向	Life Sciences & Biomedicine - Other Topics ; Mathematical & Computational Biology ; Mathematics
WOS类目	Biology ; Mathematical & Computational Biology ; Statistics & Probability
WOS记录号	WOS:000187501100031
出版者	BLACKWELL PUBLISHING LTD
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/18437
专题	中国科学院数学与系统科学研究院
通讯作者	Lee, AH
作者单位	1.Chinese Acad Sci, Inst Syst Sci, Acad Math & Syst Sci, Beijing, Peoples R China 2.City Univ Hong Kong, Dept Management Sci, Hong Kong, Hong Kong, Peoples R China 3.Curtin Univ Technol, Dept Epidemiol & Biostat, Sch Publ Hlth, Perth, WA 6001, Australia
推荐引用方式 GB/T 7714	Lu, Z,Van Hui, Y,Lee, AH. Minimum hellinger distance estimation for finite mixtures of Poisson regression models and its applications[J]. BIOMETRICS,2003,59(4):1016-1026.
APA	Lu, Z,Van Hui, Y,&Lee, AH.(2003).Minimum hellinger distance estimation for finite mixtures of Poisson regression models and its applications.BIOMETRICS,59(4),1016-1026.
MLA	Lu, Z,et al."Minimum hellinger distance estimation for finite mixtures of Poisson regression models and its applications".BIOMETRICS 59.4(2003):1016-1026.