Optimal Confidence Interval for the Largest Exponential Location Parameter

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Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/121318

Title:	Optimal Confidence Interval for the Largest Exponential Location Parameter
Authors:	Shun-Yi Chen;Chih-Chun Tsai;Hubert J. Chen;Su-Hao Lee
Keywords:	Expected length;Exponential distribution;Least favorable configuration;Censored sample
Date:	2020-03-11
Issue Date:	2021-09-24 12:12:04 (UTC+8)
Publisher:	Taylor & Francis Inc.
Abstract:	A single sampling procedure is proposed for obtaining an optimal confidence interval for the largest location parameter of several k independent exponential populations in the cases of known and unknown common scale parameter, where “optimal” is defined in the sense of minimal expected interval width and best allocation at a fixed confidence. The optimal result can be applied to type II censored samples. Tables of percentage points are provided for practitioners.
Relation:	Communications in Statistics - Simulation and Computation
DOI:	10.1080/03610918.2020.1733608
Appears in Collections:	[Graduate Institute & Department of Mathematics] Journal Article

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