Robust simultaneous estimation of location parameters

被引：1

作者：

Qiang, Beidi ^{[1
]}

Pena, Edsel A. ^{[2
]}

机构：

[1] Southern Illinois Univ Edwardsville, Edwardsville, IL 62026 USA

[2] Univ South Carolina, Columbia, SC 29208 USA

来源：

STATISTICS & PROBABILITY LETTERS | 2023年 / 193卷

基金：

美国国家科学基金会;

关键词：

Empirical Bayes; Median estimation; Non-parametrics; Simultaneous estimation;

D O I：

10.1016/j.spl.2022.109730

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 this paper, we propose two robust non-parametric estimators for population loca-tion parameters via a shrinkage idea. Improvements of the proposed estimators over traditional estimators are demonstrated through simulation studies and empirical data analysis.(c) 2022 Elsevier B.V. All rights reserved.

引用

页数：5

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