A New Ratio Estimator in Stratified Adaptive Cluster Sampling

被引：0

作者：

Chutiman, Nipaporn ^{[1
]}

机构：

[1] Mahasarakham Univ, Fac Sci, Dept Math, Maha Sarakham 44150, Thailand

来源：

THAILAND STATISTICIAN | 2010年 / 8卷 / 02期

关键词：

ratio estimator; stratified adaptive cluster 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：

Kadilar and Cingi considered the ratio estimators for the population mean of the variable of interest in stratified random sampling. In this paper we focus on the new ratio estimator (based on Kadilar and Cingi in stratified adaptive cluster sampling. Simulations showed the proposed estimator had the smallest estimated mean square error when compared to the ratio estimators in stratified sampling and the ratio estimator, based on Hansen-Hurwitz estimator, in stratified adaptive cluster sampling.

引用

页码：223 / 233

页数：11

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