A family of ratio estimators for population mean in extreme ranked set sampling using two auxiliary variables
Haq, Abdul (Quaid-i-Azam University)
Shabbir, Javid (Quaid-i-Azam University)

Date:	2010
Abstract:	In this paper we have adopted the Khoshnevisan et al. (2007) family of estimators to extreme ranked set sampling (ERSS) using information on single and two auxiliary variables. Expressions for mean square error (MSE) of proposed estimators are derived to first order of approximation. Monte Carlo simulations and real data sets have been used to illustrate the method. The results indicate that the estimators under ERSS are more efficient as compared to estimators based on simple random sampling (SRS), when the underlying populations are symmetric.
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:	Ratio estimator ; Ranked set sampling ; Extreme ranked set sampling
Published in:	SORT : statistics and operations research transactions, Vol. 34, Núm. 1 (January-June 2010) , p. 45-64, ISSN 2013-8830

Adreça alternativa: https://raco.cat/index.php/SORT/article/view/193716

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