On improvement in estimating population mean in stratified random sampling

被引：62

作者：

Koyuncu, Nursel ^{[1
]}

Kadilar, Cem ^{[1
]}

机构：

[1] Hacettepe Univ, Dept Stat, Ankara, Turkey

来源：

JOURNAL OF APPLIED STATISTICS | 2010年 / 37卷 / 06期

关键词：

ratio estimator; auxiliary information; mean square error; efficiency; stratified random sampling; AUXILIARY INFORMATION; RATIO ESTIMATORS;

D O I：

10.1080/02664760903002675

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：

Gupta and Shabbir 2 have suggested an alternative form of ratio-type estimators for estimating the population mean. In this paper, we obtained a corrected version for the mean square error (MSE) of the Gupta-Shabbir estimator, up to first order of approximation, and the optimum case is discussed. We expand this estimator to the stratified random sampling and propose general classes for combined and separate estimators. Also an empirical study is carried out to show the properties of the proposed estimators.

引用

页码：999 / 1013

页数：15

共 14 条

[1]

Cochran W.G., 2007, Sampling techniques

[2] On improvement in estimating the population mean in simple random sampling [J].