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http://dx.doi.org/10.5351/CKSS.2012.19.1.013

An Alternative Composite Estimator for the Take-Nothing Stratum of the Cut-Off Sampling  

Hwang, Jong-Min (Department of Statistics, Hankuk University of Foreign Studies)
Shin, Key-Il (Department of Statistics, Hankuk University of Foreign Studies)
Publication Information
Communications for Statistical Applications and Methods / v.19, no.1, 2012 , pp. 13-22 More about this Journal
Abstract
Cut-off sampling that discards a part of the population from the sampling frame, is a widely used method for a business survey. Usually, to the estimate of population total, an accurate estimate of the total of the take-nothing stratum is required. Many estimators have been developed to estimate the total of the take-nothing stratum. Recently Kim and Shin (2011) suggested a composite estimator and showed the superiority of that estimator. In this paper, we suggest an alternative composite estimator obtained by combining BLUP estimator and a ratio estimator obtained by the small samples from the take-nothing stratum. Small simulation studies are performed for a comparison of the estimators and we confirm that the new suggested estimator is superior.
Keywords
Sampling survey; non-sampling error; cut-off sampling; ratio estimator;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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