出版日期：2018-05-09 00:00:00

著者：Farha Sultana; Yogesh Mani Tripathi; Manoj Kumar Rastogi; Shuo-Jye Wu

著錄名稱、卷期、頁數：American Journal of Mathematical and Management Sciences 37(3), p.243-261

摘要：We consider estimation of unknown parameters of a two-parameter Kumaraswamy distribution with hybrid censored samples. We obtain maximum likelihood estimates using an expectation-maximization algorithm. Bayes estimates are derived under the squared error loss function using different approximation methods. In addition, an importance sampling technique is also discussed. Interval estimation is considered as well. We conduct a simulation study to compare the performance of different estimates, and based on this study, recommendations are made. A real data set and a simulated data set are analyzed for illustration purposes.

關鍵字：Bayes estimates;EM algorithm;importance sampling;Lindley method;Tierney and Kadane method

語言：en_US

期刊性質：國外

收錄於：EI

審稿制度：是

國別：USA

出版型式：電子版