Exact linear inference and prediction for exponential distributions based on general progressively 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 987654321/41341

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題名:	Exact linear inference and prediction for exponential distributions based on general progressively Type-II censored samples
作者:	Balakrishnan, N.;林千代;Lin, Chien-tai
貢獻者:	淡江大學數學學系
關鍵詞:	Best linear unbiased estimator;Exponential distribution;Pivotal quantity;Progressively Type-II censored samples
日期:	2002-08
上傳時間:	2010-01-28 07:20:50 (UTC+8)
出版者:	Taylor & Francis
摘要:	In this paper, we make use of an algorithm of Huffer and Lin (2001) in order to develop exact interval estimation for the location and scale parameters of an exponential distribution based on general progressively Type-II censored samples. The exact prediction intervals for failure times of the items censored at the last observation are also presented for one-parameter and two-parameter exponential distributions. Finally, we give two examples to illustrate the methods of inference developed here.
關聯:	Journal of Statistical Computation and Simulation 72(8), pp.677-686
DOI:	10.1080/00949650213746
顯示於類別:	[數學學系暨研究所] 期刊論文

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