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	On selection procedures for positive exponential family distributions based on type-I censored data
	Gupta, SS ; He, SY ; Li, JJ
	2003
关键词	type-I censored data best population Bayes selection rule early selection rule
英文摘要	We investigate the problem of selecting the best population from positive exponential family distributions based on type-l censored data, A Bayes rule is derived and a monotone property of the Bayes selection rule is obtained. Following that property, we propose an early selection rule. Through this early selection rule, one can terminate the experiment on a few populations early and possibly make the final decision before the censoring time. An example is provided in the final part to illustrate the use of the early selection rule. (C) 2001 Elsevier Science B.V. All rights reserved.; Statistics & Probability; SCI(E); 1; ARTICLE; 1-2; 11-21; 110
语种	英语
出处	SCI
出版者	journal of statistical planning and inference
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/257992]
专题	数学科学学院
推荐引用方式 GB/T 7714	Gupta, SS,He, SY,Li, JJ. On selection procedures for positive exponential family distributions based on type-I censored data. 2003-01-01.

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