Dergiler / Hacettepe Bulletin of Natural Sciences and Engineering Series B / Mathematics and Statistics / 2000 / Cilt: 29 - Sayı:

An application of the regression estimator in Ranked Set Sampling

An application of the regression estimator in Ranked Set Sampling

Serdar DEMİR, Hülya ÇINGI

Sayfa
93–101
DOI
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Abstract

Ranked Set Sampling (RSS) is a sampling method which is a cost-efficient alternative to simple random sampling (SRS). An efficient regression estimator in RSS was proposed by Yu and Lam [11] for estimating the population mean of Y when the population mean of an auxiliary variable is known. In this paper, the regression estimator proposed by Yu and Lam is considered. Then an application with original Turkish data for estimating the population mean and the variance of the population mean is given.