Improved exponential type ratio estimator of population variance

This article considers the problem of estimating the population varianceusing auxiliary information. An improved version of Singh’s exponential typeratio estimator has been proposed and its properties have been studied underlarge sample approximation. It is shown that the proposed exponential typera...

Full description

Autores:
Yadav, Subhash Kumar
Kadilar, Cem
Tipo de recurso:
Article of journal
Fecha de publicación:
2013
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/73212
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/73212
http://bdigital.unal.edu.co/37687/
Palabra clave:
Auxiliary variable
Bias
Efficiency
Mean squared error
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
id UNACIONAL2_b61baaf1435de8b7650bacda0377f05b
oai_identifier_str oai:repositorio.unal.edu.co:unal/73212
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Yadav, Subhash Kumar3cb06396-ac54-4ff0-805c-837e33e7b12f300Kadilar, Cem15f23b42-a304-4cc2-8e73-b4b36ef665333002019-07-03T16:02:02Z2019-07-03T16:02:02Z2013https://repositorio.unal.edu.co/handle/unal/73212http://bdigital.unal.edu.co/37687/This article considers the problem of estimating the population varianceusing auxiliary information. An improved version of Singh’s exponential typeratio estimator has been proposed and its properties have been studied underlarge sample approximation. It is shown that the proposed exponential typeratio estimator is more efficient than that considered by the Singh estimator,conventional ratio estimator and the usual unbiased estimator under somerealistic conditions. An empirical study has been carried out to judge themerits of the suggested estimator over others.application/pdfspaUniversidad Nacional de Colombiahttp://revistas.unal.edu.co/index.php/estad/article/view/39614Universidad Nacional de Colombia Revistas electrónicas UN Revista Colombiana de EstadísticaRevista Colombiana de EstadísticaRevista Colombiana de Estadística; Vol. 36, núm. 1 (2013); 145-152 Revista Colombiana de Estadística; Vol. 36, núm. 1 (2013); 145-152 0120-1751Yadav, Subhash Kumar and Kadilar, Cem (2013) Improved exponential type ratio estimator of population variance. Revista Colombiana de Estadística; Vol. 36, núm. 1 (2013); 145-152 Revista Colombiana de Estadística; Vol. 36, núm. 1 (2013); 145-152 0120-1751 .Improved exponential type ratio estimator of population varianceArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTAuxiliary variableBiasEfficiencyMean squared errorORIGINAL39614-176824-1-PB.pdfapplication/pdf543219https://repositorio.unal.edu.co/bitstream/unal/73212/1/39614-176824-1-PB.pdfabec44259c5133637fdec9210a0352e2MD51THUMBNAIL39614-176824-1-PB.pdf.jpg39614-176824-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg5319https://repositorio.unal.edu.co/bitstream/unal/73212/2/39614-176824-1-PB.pdf.jpg5044ded860a8d0ea3b43a987f0a7fc66MD52unal/73212oai:repositorio.unal.edu.co:unal/732122024-06-20 23:27:23.313Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co
dc.title.spa.fl_str_mv Improved exponential type ratio estimator of population variance
title Improved exponential type ratio estimator of population variance
spellingShingle Improved exponential type ratio estimator of population variance
Auxiliary variable
Bias
Efficiency
Mean squared error
title_short Improved exponential type ratio estimator of population variance
title_full Improved exponential type ratio estimator of population variance
title_fullStr Improved exponential type ratio estimator of population variance
title_full_unstemmed Improved exponential type ratio estimator of population variance
title_sort Improved exponential type ratio estimator of population variance
dc.creator.fl_str_mv Yadav, Subhash Kumar
Kadilar, Cem
dc.contributor.author.spa.fl_str_mv Yadav, Subhash Kumar
Kadilar, Cem
dc.subject.proposal.spa.fl_str_mv Auxiliary variable
Bias
Efficiency
Mean squared error
topic Auxiliary variable
Bias
Efficiency
Mean squared error
description This article considers the problem of estimating the population varianceusing auxiliary information. An improved version of Singh’s exponential typeratio estimator has been proposed and its properties have been studied underlarge sample approximation. It is shown that the proposed exponential typeratio estimator is more efficient than that considered by the Singh estimator,conventional ratio estimator and the usual unbiased estimator under somerealistic conditions. An empirical study has been carried out to judge themerits of the suggested estimator over others.
publishDate 2013
dc.date.issued.spa.fl_str_mv 2013
dc.date.accessioned.spa.fl_str_mv 2019-07-03T16:02:02Z
dc.date.available.spa.fl_str_mv 2019-07-03T16:02:02Z
dc.type.spa.fl_str_mv Artículo de revista
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/article
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.coarversion.spa.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.content.spa.fl_str_mv Text
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/ART
format http://purl.org/coar/resource_type/c_6501
status_str publishedVersion
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/73212
dc.identifier.eprints.spa.fl_str_mv http://bdigital.unal.edu.co/37687/
url https://repositorio.unal.edu.co/handle/unal/73212
http://bdigital.unal.edu.co/37687/
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.spa.fl_str_mv http://revistas.unal.edu.co/index.php/estad/article/view/39614
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Revista Colombiana de Estadística
Revista Colombiana de Estadística
dc.relation.ispartofseries.none.fl_str_mv Revista Colombiana de Estadística; Vol. 36, núm. 1 (2013); 145-152 Revista Colombiana de Estadística; Vol. 36, núm. 1 (2013); 145-152 0120-1751
dc.relation.references.spa.fl_str_mv Yadav, Subhash Kumar and Kadilar, Cem (2013) Improved exponential type ratio estimator of population variance. Revista Colombiana de Estadística; Vol. 36, núm. 1 (2013); 145-152 Revista Colombiana de Estadística; Vol. 36, núm. 1 (2013); 145-152 0120-1751 .
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia
institution Universidad Nacional de Colombia
bitstream.url.fl_str_mv https://repositorio.unal.edu.co/bitstream/unal/73212/1/39614-176824-1-PB.pdf
https://repositorio.unal.edu.co/bitstream/unal/73212/2/39614-176824-1-PB.pdf.jpg
bitstream.checksum.fl_str_mv abec44259c5133637fdec9210a0352e2
5044ded860a8d0ea3b43a987f0a7fc66
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
repository.name.fl_str_mv Repositorio Institucional Universidad Nacional de Colombia
repository.mail.fl_str_mv repositorio_nal@unal.edu.co
_version_ 1814089851108065280