Calibrated estimators in two-stage sampling

被引：7

作者：

Salinas, Veronica I. ^{[1
]}

Sedory, Stephen A. ^{[1
]}

Singh, Sarjinder ^{[1
]}

机构：

[1] Texas A&M Univ Kingsville, Dept Math, Kingsville, TX 78363 USA

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2019年 / 48卷 / 06期

关键词：

Applications; auxiliary information; calibration; estimation of mean; simulation study; VARIANCE-ESTIMATION; PREDICTION-APPROACH; REGRESSION;

D O I：

10.1080/03610926.2018.1433850

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 consider the problem of the estimation of the population mean of a study variable by assuming that the population means of an auxiliary variable are known at both stages of sample selection. The design weights at the first and second stages of sample selection are calibrated by optimizing the chi-squared type distance between the design weights and the new weights at both the first and second stages of sample selection. The regression type estimator in two-stage sampling is shown to be a special case. An application of the proposed estimators using a real data set is discussed.

引用

页码：1449 / 1469

页数：21

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