Estimators for the population mean in the case of missing data

被引：38

作者：

Kadilar, Cem ^{[1
]}

Cingi, Hulya ^{[1
]}

机构：

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

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2008年 / 37卷 / 14期

关键词：

efficiency; missing data; ratio-type estimator; regression estimator; simple random sampling;

D O I：

10.1080/03610920701855020

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：

We propose a class of estimators for the population mean when there are missing data in the data set. Obtaining the mean square error equations of the proposed estimators, we show the conditions where the proposed estimators are more efficient than the sample mean, ratio-type estimators, and the estimators in Singh and Horn (2000) and Singh and Deo (2003) in the case of missing data. These conditions are also supported by a numerical example.

引用

页码：2226 / 2236

页数：11

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