Statistical for geometric based on analysis distribution records

被引：6
作者：
Doostparast, M. [1 ]
Ahmadi, J. [1 ]
机构：
[1] Ferdowsi Univ Mashhad, Sch Math Sci, Dept Stat, Mashhad, Iran
来源：
COMPUTERS & MATHEMATICS WITH APPLICATIONS | 2006年 / 52卷 / 6-7期
关键词：
admissibility; Bayes estimation; Bayes prediction; Beta-Pascal distribution; squared error loss; weak records;
D O I：
10.1016/j.camwa.2006.05.014
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, based on records from the geometric distribution, non-Bayesian and Bayesian estimators for the unknown parameter are obtained. The empirical Bayes estimate is derived using the squared error loss function. The admissibility of estimators are discussed. Also, the problem of predicting the future record values, either point or interval, based on the past record values observed, is considered from Bayesian and non-Bayesian approaches. (c) 2006 Elsevier Ltd. All rights reserved.
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页码：905 / 916
页数：12
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