Estimation of δ=P(X＜Y) for Burr XII distribution based on the progressively first failure-censored samples

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題名:	Estimation of δ=P(X＜Y) for Burr XII distribution based on the progressively first failure-censored samples
作者:	Lio, Y.L.;Tsai, Tzong-ru
貢獻者:	淡江大學統計學系
關鍵詞:	first failure-censoring;Fisher information;parametric bootstrap;maximum-likelihood estimate;progressive type II censoring
日期:	2011-06
上傳時間:	2012-04-30 10:37:24 (UTC+8)
出版者:	Taylor & Francis
摘要:	Let X and Y have two-parameter Burr XII distributions. The maximum-likelihood estimator of δ=P(X<Y) is studied under the progressively first failure-censored samples. Three confidence intervals of δ are constructed by using an asymptotic distribution of the maximum-likelihood estimator of δ and two bootstrapping procedures, respectively. Some computational results from intensive simulations are presented. An illustrative example is provided to demonstrate the application of the proposed method.
關聯:	Journal of Applied Statistics 39(2), p.309-322
DOI:	10.1080/02664763.2011.586684
顯示於類別:	[統計學系暨研究所] 期刊論文

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