Exact linear inference for scaled exponentiol distribution based on doubly Type-II censored samples

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Title:	Exact linear inference for scaled exponentiol distribution based on doubly Type-II censored samples
Authors:	林千代;Lin, C. T.;Balakrishnan, N.
Contributors:	淡江大學數學學系
Keywords:	Order statistics;spacings;Dirichlet distribution;Uniform distribution;Exponential distribution;Best linear unbiased estimator;Doubly Type-II censored sample;MAPLE program Order statistics;spacings;Dirichlet distribution;Uniform distribution;Exponential distribution;Best linear unbiased estimator;Doubly Type-II censored sample;MAPLE program
Date:	2001-12
Issue Date:	2010-01-28 07:20:46 (UTC+8)
Publisher:	Taylor & Francis
Abstract:	In this paper, we make use of an algorithm of Huffer and Lin (2000) in order to develop exact interval estimation for the scale parameter to of an exponential distribution based on doubly Type-II censored samples. We also evaluate the accuracy of a chi-square approximation proposed by Balakrishnan and Gupta (1998). We present the MAPLE program for the determination of the exact percentage points of the pivotal quantity based on the best linear unbiased estimator. Finally, we present a couple of examples to illustrate the method of inference developed here.
Relation:	Journal of Statistical Computation and Simulation 71(3), pp.183-199
DOI:	10.1080/00949650108812142
Appears in Collections:	[Graduate Institute & Department of Mathematics] Journal Article

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