EM algorithm for mixture distributions model with type-I hybrid censoring scheme
學年 110
學期 1
出版（發表）日期 2021-10-04
作品名稱 EM algorithm for mixture distributions model with type-I hybrid censoring scheme
作品名稱（其他語言）
著者 Tzong-Rr Tsai; Y. Lio; W-C Ting
單位
出版者
著錄名稱、卷期、頁數 Mathematics 9(19), 2483
摘要 An expectation–maximization (EM) likelihood estimation procedure is proposed to obtain the maximum likelihood estimates of the parameters in a mixture distributions model based on type-I hybrid censored samples when the mixture proportions are unknown. Three bootstrap methods are applied to construct the confidence intervals of the model parameters. Monte Carlo simulations are conducted to evaluate the performance of the proposed methods. Simulation results show that the proposed methods can perform well to obtain reliable point and interval estimation results. Three examples are used to illustrate the applications of the proposed methods.
關鍵字 bootstrap method;EM algorithm;maximum likelihood estimation;mixture distributions model;Monte Carlo simulation
語言 en_US
ISSN 2227-7390
期刊性質 國外
收錄於 SCI
產學合作
通訊作者
審稿制度 是
國別 CHE
公開徵稿
出版型式 ,電子版
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機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/122521 )

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