Mostra el registre d'ítem simple

dc.contributor.authorTahmasebi, Saeid
dc.contributor.authorJafari, Ali Akbar
dc.date.accessioned2016-07-06T13:59:38Z
dc.date.available2016-07-06T13:59:38Z
dc.date.issued2014-12
dc.identifier.citationTahmasebi, 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.issn1696-2281
dc.identifier.urihttp://hdl.handle.net/2117/88563
dc.description.abstractIn 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.extent20 p.
dc.language.isoeng
dc.publisherInstitut d'Estadística de Catalunya
dc.relation.ispartofSORT. 2014, Vol. 38, Núm. 2
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
dc.subject.otherConcomitants of order statistics
dc.subject.otherMorgenstern type bivariate generalized exponential distribution
dc.subject.otherranked set sampling
dc.titleEstimators for the parameter mean of Morgenstern type bivariate generalized exponential distribution using ranked set sampling
dc.typeArticle
dc.description.peerreviewedPeer Reviewed
dc.subject.amsClassificació AMS::62 Statistics::62D05 Sampling theory, sample surveys
dc.subject.amsClassificació AMS::62 Statistics::62F Parametric inference
dc.subject.amsClassificació AMS::62 Statistics::62G Nonparametric inference
dc.rights.accessOpen Access
local.citation.publicationNameSORT
local.citation.volume38
local.citation.number2
local.citation.startingPage161
local.citation.endingPage180


Fitxers d'aquest items

Thumbnail

Aquest ítem apareix a les col·leccions següents

Mostra el registre d'ítem simple