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

IF 1.4 3区社会学 Q3 DEMOGRAPHY

Mathematical Population Studies Pub Date : 2018-07-03 DOI:10.1080/08898480.2018.1428469

M. Ghosh, Jiyoun Myung, P. Sankaran

引用次数: 0

Abstract

ABSTRACT 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.

查看原文本刊更多论文

总体中位数的非参数贝叶斯和经验贝叶斯估计，及其在有限总体抽样中的应用

在Dirichlet过程先验条件下，给出了总体中值的非参数贝叶斯估计和经验贝叶斯估计。在Dirichlet过程先验条件下，用有限总体抽样估计有限总体中值。从频率论的角度得到了估计量的渐近性质。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Mathematical Population Studies 数学-数学跨学科应用

CiteScore

3.20

自引率

11.10%

发文量

审稿时长

>12 weeks

期刊介绍： Mathematical Population Studies publishes carefully selected research papers in the mathematical and statistical study of populations. The journal is strongly interdisciplinary and invites contributions by mathematicians, demographers, (bio)statisticians, sociologists, economists, biologists, epidemiologists, actuaries, geographers, and others who are interested in the mathematical formulation of population-related questions. The scope covers both theoretical and empirical work. Manuscripts should be sent to Manuscript central for review. The editor-in-chief has final say on the suitability for publication.