Improved Exponential Estimator in Stratified Random Sampling

被引：0

作者：

Singh, Rajesh ^{[1
]}

Kumar, Mukesh ^{[1
]}

Chaudhary, Manoj K. ^{[1
]}

Kadilar, Cem ^{[2
]}

机构：

[1] BHU, Dept Stat, Varanasi, UP, India

[2] Hacettepe Univ, Dept Stat, TR-06800 Ankara, Turkey

来源：

PAKISTAN JOURNAL OF STATISTICS AND OPERATION RESEARCH | 2009年 / 5卷 / 02期

关键词：

Auxiliary variable; exponential ratio-type estimates; mean square error; stratified random sampling;

D O I：

暂无

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 have considered the problem of estimating the population mean. Y. in the stratified random sampling using the information of an auxiliary variable x which is correlated with y and suggested improved exponential ratio estimators in the stratified random sampling. The mean square error (MSE) equations for the proposed estimators have been derived and it is shown that the proposed estimators under optimum condition performs better than estimators suggested by Singh et al. (2008). Theoretical and empirical findings are encouraging and support the soundness of the proposed estimators for mean estimation.

引用

页码：67 / 82

页数：16

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