Estimation of δ=P(X<Y) for Burr XII distribution based on the progressively first failure-censored samples
學年 99
學期 2
出版(發表)日期 2011-06-01
作品名稱 Estimation of δ=P(X<Y) for Burr XII distribution based on the progressively first failure-censored samples
作品名稱(其他語言)
著者 Lio, Y.L.; Tsai, Tzong-ru
單位 淡江大學統計學系
出版者 Taylor & Francis
著錄名稱、卷期、頁數 Journal of Applied Statistics 39(2), p.309-322
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.
關鍵字 first failure-censoring;Fisher information;parametric bootstrap;maximum-likelihood estimate;progressive type II censoring
語言 en_US
ISSN 0266-4763
期刊性質 國外
收錄於 SCI
產學合作
通訊作者
審稿制度
國別 GBR
公開徵稿
出版型式 ,電子版,紙本
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