Improved Estimators using Exponential Function for the Population Mean in Simple and Stratified Random Samplings

被引:0
|
作者
Unal, Ceren [1 ]
Kadilar, Cem [1 ]
机构
[1] Hacettepe Univ, Dept Stat, Ankara, Turkey
关键词
Simple Random Sampling; Stratified Random Sampling; Exponential Type Estimators; First Order Approximation; Auxiliary Information; RATIO;
D O I
10.18187/pjsor.v17i2.3026
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 article, we investigated estimators with the exponential function for the estimation of the population mean in the simple and stratified random samplings. Family of estimators based on the exponential function is proposed for both sampling methods. The proposed estimators are compared with estimators in literature. Moreover, we provide an application on different data sets to demonstrate the efficiency of the proposed estimators. As a result, the proposed estimators are more efficient than other estimators in literature under the obtained conditions in theory.
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页码:333 / 342
页数:10
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