Empirical Bayes Estimation of Parameters from Burr-XⅡ Distribution Based on Progressively Type-Ⅱ Censored Samples

摘要：

Based on progressively type-Ⅱ censored samples, the empirical Bayes estimator and its asymptotical optimality of Burr-XⅡ distribution are studied. Under scaled squared error loss, the empirical Bayes estimator of the unknown parameter is derived. Using moment method, the hyper-parameters are estimated. We also prove that the empirical Bayes estimator of the parameter is asymptotically optimal. Finally, an example is presented in order to illustrate the method discussed here.

关键词： Empirical Bayes estimation asymptotically optimal Burr-XⅡ distribution scaled squared error loss progressively type-II censored test

作者: YIMIN SHI LIN WANG

作者单位: Department of Applied Mathematics, Northwestern Polytechnical University, Xian, China, 710072

会议类型: 国际会议

会议名称: The 7th Inyernational Conference on Mathematical Methods in Reliability:Theory,Methods,Applications(第七届国际可靠性数学、理论、方法与应用会议 MMR2011)

会议地点: 北京

会议语种:英文

页码: 735-739

在线出版日期: 2011-06-20（万方平台首次上网日期，不代表论文的发表时间）