Estimators for the parameter mean of Morgenstern type bivariate generalized exponential distribution using ranked set sampling
Tahmasebi, Saeid (Persian Gulf University (Bushehr, Iran). Department of Statistics)
Akbar Jafari, Ali (Yazd University (Yazd, Iran). Department of Statistics)

Date:	2014
Abstract:	In situations where the sampling units in a study can be more easily ranked based on the measurement of an auxiliary variable, ranked set sampling provides unbiased estimators for the mean of a population that are more efficient than unbiased estimators based on simple random sampling. In this paper, we consider the Morgenstern type bivariate generalized exponential distribution and obtain several unbiased estimators for the mean parameter of its marginal distribution, based on different ranked set sampling schemes. The efficiency of all considered estimators are evaluated and several numerical illustrations are given.
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Concomitants of order statistics ; Morgenstern type bivariate generalized exponential distribution ; Ranked set sampling
Published in:	SORT : statistics and operations research transactions, Vol. 38 Núm. 2 (July-December 2014) , p. 161-180, ISSN 2013-8830

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