A new ratio estimator in stratified random sampling

被引：93

作者：

Kadilar, C ^{[1
]}

Cingi, H ^{[1
]}

机构：

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

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2005年 / 34卷 / 03期

关键词：

mean square errors; ratio-type estimators; stratified random sampling;

D O I：

10.1081/STA-200052156

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 suggest a new ratio estimator in stratified random sampling based on the Prasad (1989) estimator. Theoretically, we obtain the mean square error (MSE) for this estimator and compare it with the MSE of traditional combined ratio estimate. By this comparison, we demonstrate that proposed estimator is more efficient than combined ratio estimate in all conditions. In addition, this theoretical result is supported by a numerical example.

引用

页码：597 / 602

页数：6

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2-W

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