Improved Mean Estimation of a Sensitive Variable Using Auxiliary Information in Stratified Sampling

被引：5

作者：

Sousa, Rita ^{[1
]}

Gupta, Sat ^{[2
]}

Shabbir, Javid ^{[3
]}

Corte-Real, Pedro ^{[1
]}

机构：

[1] Univ Nova Lisboa, Lisbon, Portugal

[2] Univ N Carolina, Greensboro, NC USA

[3] Quaid I Azam Univ, Islamabad, Pakistan

来源：

JOURNAL OF STATISTICS & MANAGEMENT SYSTEMS | 2014年 / 17卷 / 5-6期

关键词：

Absolute relative bias; Mean square error; Randomized response technique; Ratio estimator; Regression estimator; Stratified random sampling;

D O I：

10.1080/09720510.2013.878826

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：

Sousa et al. (2010) and Gupta et al. (2012) have recently introduced ratio and regression estimators for the mean of a sensitive variable which perform better than the ordinary mean estimator based on a Randomized Response Technique (RRT). In the present study we extend these estimators to the stratified sampling setting. The performance of the proposed estimators is compared to the exiting estimators both theoretically and through a simulation study. We also apply the proposed estimators to some real data.

引用

页码：503 / 518

页数：16

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