Nonparametric Bayes and empirical Bayes estimation of the population median, with application in finite-population sampling

被引：0

作者：

Ghosh, Malay ^{[1
]}

Myung, Jiyoun ^{[2
]}

Sankaran, Paduthol Godan ^{[3
]}

机构：

[1] Univ Florida, Dept Stat, Gainesville, FL 32611 USA

[2] Univ Calif Santa Barbara, Dept Stat & Appl Probabil, South Hall 5513, Santa Barbara, CA 93106 USA

[3] Cochin Univ Sci & Technol, Dept Stat, Cochin, Kerala, India

来源：

MATHEMATICAL POPULATION STUDIES | 2018年 / 25卷 / 03期

关键词：

Dirichlet process priors; median; nonparametric Bayes estimation; nonparametric empirical Bayes estimation; finite-population sampling;

D O I：

10.1080/08898480.2018.1428469

中图分类号：

C921 [人口统计学];

学科分类号：

摘要：

Nonparametric Bayes and empirical Bayes estimators of the population median are provided under Dirichlet process priors. The finite-population sampling is used to estimate the finite-population median under Dirichlet process priors. The asymptotic properties of the estimators are obtained from a frequentist perspective.

引用

页码：159 / 167

页数：9

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