[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5351/CKSS.2011.18.1.147

Folded Ranked Set Sampling for Asymmetric Distributions

Bani-Mustafa, Ahmed (Prince Sultan College Jeddah, Alfisel University)
Al-Nasser, Amjad D. (Division of Area Planning & Residents Relations, WRM)
Aslam, Muhammad (Department of Statistics, Forman Christian College University)

Publication Information

Communications for Statistical Applications and Methods / v.18, no.1, 2011 , pp. 147-153 More about this Journal

Abstract

In this paper a new sampling procedure for estimating the population mean is introduced. The performance of the new population mean estimator is discussed, along with its properties, and it is shown that the proposed method generates an unbiased estimator. The relative efficiency of the suggested estimator is computed, in regards to the simple random sample(SRS), and comparisons are made to the ranked set sampling(RSS) and extreme ranked set sampling(ERSS) estimators used for asymmetric distributions. The results indicate that the proposed estimator is more efficient than the estimators based on the ERSS. In addition, the folded ranked set sampling(FRSS) procedure has an advantage over the RSS and ERSS in that it reduces the number of unused sampling units.

Keywords

Ranked set sampling(RSS); extreme ranked set sampling(ERSS); asymmetric distributions;

Citations & Related Records

Reference

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