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E-Bayesian estimation for competing risk model under progressively hybrid censoring 被引量:3

E-Bayesian estimation for competing risk model under progressively hybrid censoring
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摘要 This paper considers the Bayesian and expected Bayesian(E-Bayesian) estimations of the parameter and reliability function for competing risk model from Gompertz distribution under Type-I progressively hybrid censoring scheme(PHCS). The estimations are obtained based on Gamma conjugate prior for the parameter under squared error(SE) and Linex loss functions. The simulation results are provided for the comparison purpose and one data set is analyzed. This paper considers the Bayesian and expected Bayesian(E-Bayesian) estimations of the parameter and reliability function for competing risk model from Gompertz distribution under Type-I progressively hybrid censoring scheme(PHCS). The estimations are obtained based on Gamma conjugate prior for the parameter under squared error(SE) and Linex loss functions. The simulation results are provided for the comparison purpose and one data set is analyzed.
出处 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2016年第4期936-944,共9页 系统工程与电子技术(英文版)
基金 supported by the National Natural Science Foundation of China(71171164 71401134 71571144) the Natural Science Basic Research Program of Shaanxi Province(2015JM1003)
关键词 Bayesian estimation expected Bayesian(E-Bayesian) estimation Gompertz distribution Type-I progressively hybrid censoring Bayesian estimation expected Bayesian(E-Bayesian) estimation Gompertz distribution Type-I progressively hybrid censoring
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