Best linear unbiased estimators for the simple linear regression model using ranked set sampling

被引：18

作者：

Barreto, MCM ^{[1
]}

Barnett, V

机构：

[1] Univ Fed Sao Carlos, Dept Stat, BR-13565905 Sao Carlos, SP, Brazil

[2] Univ Nottingham, Sch Math Sci, Nottingham NG7 2RD, England

来源：

ENVIRONMENTAL AND ECOLOGICAL STATISTICS | 1999年 / 6卷 / 02期

关键词：

best linear unbiased estimator; order statistics; ranked set samples; simple linear regression model;

D O I：

10.1023/A:1009609902784

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

When sample observations are expensive or difficult to obtain, ranked set sampling is known to be an efficient method for estimating the population mean, and in particular to improve on the sample mean estimator. Using best linear unbiased estimators, this paper considers the simple linear regression model with replicated observations. Use of a form of ranked set sampling is shown to be markedly more efficient for normal data when compared with the traditional simple linear regression estimators.

引用

页码：119 / 133

页数：15

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