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Estimators for the parameter mean of Morgenstern type bivariate generalized exponential distribution using ranked set sampling
dc.contributor.author | Tahmasebi, Saeid |
dc.contributor.author | Jafari, Ali Akbar |
dc.date.accessioned | 2016-07-06T13:59:38Z |
dc.date.available | 2016-07-06T13:59:38Z |
dc.date.issued | 2014-12 |
dc.identifier.citation | Tahmasebi, Saeid; Jafari, Ali Akbar. Estimators for the parameter mean of Morgenstern type bivariate generalized exponential distribution using ranked set sampling. "SORT", Desembre 2014, vol. 38, núm. 2, p. 161-180. |
dc.identifier.issn | 1696-2281 |
dc.identifier.uri | http://hdl.handle.net/2117/88563 |
dc.description.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. |
dc.format.extent | 20 p. |
dc.language.iso | eng |
dc.publisher | Institut d'Estadística de Catalunya |
dc.relation.ispartof | SORT. 2014, Vol. 38, Núm. 2 |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica |
dc.subject.other | Concomitants of order statistics |
dc.subject.other | Morgenstern type bivariate generalized exponential distribution |
dc.subject.other | ranked set sampling |
dc.title | Estimators for the parameter mean of Morgenstern type bivariate generalized exponential distribution using ranked set sampling |
dc.type | Article |
dc.description.peerreviewed | Peer Reviewed |
dc.subject.ams | Classificació AMS::62 Statistics::62D05 Sampling theory, sample surveys |
dc.subject.ams | Classificació AMS::62 Statistics::62F Parametric inference |
dc.subject.ams | Classificació AMS::62 Statistics::62G Nonparametric inference |
dc.rights.access | Open Access |
local.citation.publicationName | SORT |
local.citation.volume | 38 |
local.citation.number | 2 |
local.citation.startingPage | 161 |
local.citation.endingPage | 180 |