Exponential Estimators of Finite Population Variance Using Transformed Auxiliary Variables

被引：0
|
作者：
Uzma Yasmeen
Muhammad Noor-ul-Amin
Muhammad Hanif
机构：
[1] National College of Business Administration and Economics,
[2] Comsats Institute of Information Technology,undefined
来源：
Proceedings of the National Academy of Sciences, India Section A: Physical Sciences | 2019年 / 89卷
关键词：
Transformed auxiliary variables; Relative efficiency; Exponential estimator;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This study is based on the proposal of generalized exponential estimator for finite population variance using two transformed auxiliary variables. The expressions for mean square errors and the minimum values for the optimized constants are obtained. The conditions are obtained for which the proposed estimator are better than existing estimators. The result of empirical and simulation study indicates that the suggested estimator is efficient than existing estimators for population variance.
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页码：185 / 191
页数：6
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