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

淡江大學機構典藏 > 理學院 > 數學學系暨研究所 > 期刊論文 > Item 987654321/41340

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题名:	Exact linear inference for scaled exponentiol distribution based on doubly Type-II censored samples
作者:	林千代;Lin, C. T.;Balakrishnan, N.
贡献者:	淡江大學數學學系
关键词:	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
日期:	2001-12
上传时间:	2010-01-28 07:20:46 (UTC+8)
出版者:	Taylor & Francis
摘要:	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.
關聯:	Journal of Statistical Computation and Simulation 71(3), pp.183-199
DOI:	10.1080/00949650108812142
显示于类别:	[數學學系暨研究所] 期刊論文

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