Pareto分布下屏蔽数据的贝叶斯统计分析及其应用

被引：6

作者：

李亚兰 ^{[1
]}

徐安察 ^{[1
,2
]}

机构：

[1] 温州大学数学与信息科学学院

[2] 西北工业大学理学院

来源：

应用概率统计 | 2015年 / 31卷 / 03期

基金：

浙江省自然科学基金; 中国博士后科学基金;

关键词：

Pareto分布; 屏蔽数据; 贝叶斯分析;

D O I：

暂无

中图分类号：

O212.8 [贝叶斯统计];

学科分类号：

070103 [概率论与数理统计];

摘要：

本文在Pareto分布下考虑了屏蔽数据的贝叶斯统计分析.通过引入辅助变量来刻画失效的原因,从而简化似然函数,并使用贝叶斯、多层贝叶斯以及经验贝叶斯三种方法来估计参数,然后通过一个实例来比较三种方法的优劣,最后讨论了避免先验分布中超参数选取的方法.

引用

页码：267 / 276

页数：10

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