Ranked Set Sampling Based Regression Estimators in Two-Stage Sampling Design

被引：0

作者：

Yanglem, Worthing ^{[1
]}

Khongji, Phrangstone ^{[2
]}

机构：

[1] North Eastern Hill Univ, Dept Stat, Shillong 793022, Meghalaya, India

[2] North Eastern Hill Univ, Dept Basic Sci & Social Sci, Shillong 793022, Meghalaya, India

来源：

JOURNAL OF STATISTICAL THEORY AND APPLICATIONS | 2024年

关键词：

Regression estimator; Cluster sampling; Two-stage sampling; Ranked set sampling; Concomitant variable;

D O I：

10.1007/s44199-024-00092-w

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：

This paper examines the use of ranked set sampling in the second stage of the two-stage sampling design to improve the regression estimator. The mean square errors of the suggested estimators are computed, and both theoretical and simulation results demonstrate improved estimates as compared to the conventional sampling methods, particularly in situations with limited resources or costly measurements. This approach provides a promising method for enhancing regression analysis in complex sampling scenarios.

引用

页数：14

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