期刊
MATHEMATICS
卷 11, 期 9, 页码 -出版社
MDPI
DOI: 10.3390/math11092190
关键词
generalized bayes; learning rate parameter; exponential distribution; joint type-II censoring; squared-error loss; Linex loss; general entropy loss
类别
This paper considers generalized Bayesian estimation based on a learning rate parameter to study the impact of the parameter on the estimation results using a joint censored sample of type-II exponential populations. Squared error, Linex, and general entropy loss functions are used in the Bayesian approach. Monte Carlo simulations are conducted to compare the performance of different approaches for various values of the learning rate parameter and different losses.
Generalized Bayes is a Bayesian study based on a learning rate parameter. This paper considers a generalized Bayes estimation to study the effect of the learning rate parameter on the estimation results based on a joint censored sample of type-II exponential populations. Squared error, Linex, and general entropy loss functions are used in the Bayesian approach. Monte Carlo simulations were performed to assess how well the different approaches perform. The simulation study compares the Bayesian estimators for different values of the learning rate parameter and different losses.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据