Novel predictive estimators using ranked set sampling

被引：8

作者：

Bhushan, Shashi ^{[1
]}

Kumar, Anoop ^{[2
,3
]}

机构：

[1] Univ Lucknow, Dept Stat, Lucknow, India

[2] Amity Univ, Dept Stat, Lucknow, India

[3] Amity Univ, Dept Stat, Lucknow 226028, India

来源：

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE | 2023年 / 35卷 / 03期

关键词：

predictive estimation; ranked set sampling; RATIO;

D O I：

10.1002/cpe.7435

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

This article suggests some novel logarithmic predictive estimators using ranked set sampling for the computation of population mean. The bias and mean square error of the proposed predictive estimators (PPEs) are determined up to the approximation of order one. The performance of the PPEs is examined regarding the contemporary existing predictive estimators (EPEs) utilizing simple random sampling (SRS) and ranked set sampling (RSS) and the efficiency conditions are obtained. Subsequently, a comprehensive computational examination is accomplished based on natural and artificially rendered symmetric and asymmetric populations to extend the theoretical results.

引用

页数：20

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