NONINFORMATIVE NONPARAMETRIC BAYESIAN-ESTIMATION OF QUANTILES

被引：4
|
作者：
MEEDEN, G [1 ]
机构：
[1] UNIV MINNESOTA,SCH STAT,MINNEAPOLIS,MN 55455
来源：
STATISTICS & PROBABILITY LETTERS | 1993年 / 16卷 / 02期
基金：
美国国家科学基金会;
关键词：
BAYESIAN BOOTSTRAP; NONINFORMATIVE BAYES; NONPARAMETRIC ESTIMATION; ORDER STATISTIC; QUANTILE;
D O I：
10.1016/0167-7152(93)90153-A
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
In 1981 Rubin introduced the Bayesian bootstrap and argued that it was the natural Bayesian analogue to the usual bootstrap. We show here that when estimating a population quantile in a nonparametric problem it yields estimators that are often preferred to the natural naive estimators based on the order statistic.
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页码：103 / 109
页数：7
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