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Admissible and minimax estimation of the parameter n in the binomial distribution
Zou, G; Wan, ATK
2003-05-01
发表期刊JOURNAL OF STATISTICAL PLANNING AND INFERENCE
ISSN0378-3758
卷号113期号:2页码:451-466
摘要In this paper, the problem of estimating the parameter n of the binomial distribution is considered under the assumption of both infinite and finite parameter spaces. A class of estimators, which include as a special case Sadooghi-Alvandi's [Ann. Statist. 14 (1986) 1634] estimator is considered; and the necessary and sufficient conditions for this class of estimators to be admissible are obtained, along with a new proof on the admissibility of Sadooghi-Alvandi's estimator. Furthermore, the minimax property of some estimators is investigated. (C) 2002 Elsevier Science B.V. All rights reserved.
关键词admissibility binomial distribution minimaxity number of trials quadratic loss
语种英语
WOS研究方向Mathematics
WOS类目Statistics & Probability
WOS记录号WOS:000181546700006
出版者ELSEVIER SCIENCE BV
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/18984
专题中国科学院数学与系统科学研究院
作者单位1.Chinese Acad Sci, Inst Syst Sci, Beijing 100080, Peoples R China
2.City Univ Hong Kong, Dept Management Sci, Hong Kong, Hong Kong, Peoples R China
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Zou, G,Wan, ATK. Admissible and minimax estimation of the parameter n in the binomial distribution[J]. JOURNAL OF STATISTICAL PLANNING AND INFERENCE,2003,113(2):451-466.
APA Zou, G,&Wan, ATK.(2003).Admissible and minimax estimation of the parameter n in the binomial distribution.JOURNAL OF STATISTICAL PLANNING AND INFERENCE,113(2),451-466.
MLA Zou, G,et al."Admissible and minimax estimation of the parameter n in the binomial distribution".JOURNAL OF STATISTICAL PLANNING AND INFERENCE 113.2(2003):451-466.
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