On some strategies using auxiliary information for estimating finite population mean

This paper presents an empirical investigation of the performance of five strategies for estimating the finite population mean using parameters such as mean or variance or both of an auxiliary variable. The criteria used for the choices of these strategies are bias, efficiency and approach to normal...

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Detalhes bibliográficos
Autores: Sahoo, L.N., Sahoo, J., Ruiz Espejo, M.
Formato: artículo
Fecha de publicación:1998
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2099/4088
Acesso em linha:https://hdl.handle.net/2099/4088
Access Level:acceso abierto
Palavra-chave:Statistics
Auxiliary information
Empirical study
Finite population mean
Sampling
Mostreig (Estadística)
Classificació AMS::62 Statistics::62D05 Sampling theory, sample surveys
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repository_id_str
spelling On some strategies using auxiliary information for estimating finite population meanSahoo, L.N.Sahoo, J.Ruiz Espejo, M.StatisticsAuxiliary informationEmpirical studyFinite population meanSamplingMostreig (Estadística)Classificació AMS::62 Statistics::62D05 Sampling theory, sample surveysThis paper presents an empirical investigation of the performance of five strategies for estimating the finite population mean using parameters such as mean or variance or both of an auxiliary variable. The criteria used for the choices of these strategies are bias, efficiency and approach to normality (asymmetry).Institut d'Estadística de Catalunya19981998-01-0120072007-12-07journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2099/4088reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 2.5 Spainhttp://creativecommons.org/licenses/by-nc-nd/2.5/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2099/40882026-05-27T15:37:01Z
dc.title.none.fl_str_mv On some strategies using auxiliary information for estimating finite population mean
title On some strategies using auxiliary information for estimating finite population mean
spellingShingle On some strategies using auxiliary information for estimating finite population mean
Sahoo, L.N.
Statistics
Auxiliary information
Empirical study
Finite population mean
Sampling
Mostreig (Estadística)
Classificació AMS::62 Statistics::62D05 Sampling theory, sample surveys
title_short On some strategies using auxiliary information for estimating finite population mean
title_full On some strategies using auxiliary information for estimating finite population mean
title_fullStr On some strategies using auxiliary information for estimating finite population mean
title_full_unstemmed On some strategies using auxiliary information for estimating finite population mean
title_sort On some strategies using auxiliary information for estimating finite population mean
dc.creator.none.fl_str_mv Sahoo, L.N.
Sahoo, J.
Ruiz Espejo, M.
author Sahoo, L.N.
author_facet Sahoo, L.N.
Sahoo, J.
Ruiz Espejo, M.
author_role author
author2 Sahoo, J.
Ruiz Espejo, M.
author2_role author
author
dc.subject.none.fl_str_mv Statistics
Auxiliary information
Empirical study
Finite population mean
Sampling
Mostreig (Estadística)
Classificació AMS::62 Statistics::62D05 Sampling theory, sample surveys
topic Statistics
Auxiliary information
Empirical study
Finite population mean
Sampling
Mostreig (Estadística)
Classificació AMS::62 Statistics::62D05 Sampling theory, sample surveys
description This paper presents an empirical investigation of the performance of five strategies for estimating the finite population mean using parameters such as mean or variance or both of an auxiliary variable. The criteria used for the choices of these strategies are bias, efficiency and approach to normality (asymmetry).
publishDate 1998
dc.date.none.fl_str_mv 1998
1998-01-01
2007
2007-12-07
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2099/4088
url https://hdl.handle.net/2099/4088
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 2.5 Spain
http://creativecommons.org/licenses/by-nc-nd/2.5/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 2.5 Spain
http://creativecommons.org/licenses/by-nc-nd/2.5/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Institut d'Estadística de Catalunya
publisher.none.fl_str_mv Institut d'Estadística de Catalunya
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,228081

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