Enhancing ratio estimators for estimating population mean using maximum value of auxiliary variable

被引：4
|
作者：
Abbas, Nasir [1 ,3 ]
Abid, Muhammad [1 ,2 ]
Tahir, Muhammad [3 ]
Hussain, Zawar [4 ]
机构：
[1] Govt Coll Univ, Dept Stat, Faisalabad 38000, Pakistan
[2] Zhejiang Univ, Inst Stat, Dept Math, Hangzhou 310027, Zhejiang, Peoples R China
[3] Govt Postgrad Coll, Dept Stat, Jhang, Pakistan
[4] Quaid I Azam Univ, Dept Stat, Islamabad 44000, Pakistan
来源：
JOURNAL OF THE NATIONAL SCIENCE FOUNDATION OF SRI LANKA | 2018年 / 46卷 / 03期
关键词：
Bias; coefficient of variation; maximum value; ratio estimator; simulation study;
D O I：
10.4038/jnsfsr.v46i3.8498
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
This article proposes some newly modified ratio estimators for the estimation of population mean of the study variable by incorporating the maximum value of the auxiliary variable. The expressions of the bias and mean squared error were derived. The conditions in which the suggested estimators have minimum values of mean squared error in comparison to the existing estimators were also derived. An empirical and simulation study was also conducted. From the empirical and simulation study, it was found that the suggested estimators perform more efficiently as compared to the existing estimators considered in this study.
引用
收藏
页码：453 / 463
页数：11
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