Two-step calibration of design weights in survey sampling

被引:8
作者
Singh, Sarjinder [1 ]
Sedory, Stephen Andrew [1 ]
机构
[1] Texas A&M Univ Kingsville, Dept Math, Kingsville, TX 78363 USA
关键词
Calibration; Estimation of total; Bias and variance; 62D05; AUXILIARY INFORMATION; MODEL; ESTIMATORS;
D O I
10.1080/03610926.2014.892137
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
In this article, a new two-step calibration technique of design weights is proposed. In the first step, the calibration weights are set proportional to the design weights in a given sample. In the second step, the constants of proportionality are determined based on different objectives of the investigator such as bias reduction or minimum mean squared error. Many estimators available in the literature can be shown to be special cases of the proposed two-step calibrated estimator. A simulation study, based on a real data set, is also included at the end. A few technical issues are raised with respect to the use of the proposed calibration technique: both limitations and benefits are discussed.
引用
收藏
页码:3510 / 3523
页数:14
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