A general procedure of estimating the population mean in the presence of non-response under double sampling using auxiliary information

In the present study, we propose a general class of estimators for population mean of the study variable in the presence of non-response using auxiliary information under double sampling. The expression of mean squared error (MSE) of the proposed class of estimators is derived under double (two-stag...

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Detalles Bibliográficos
Autores: Singh, H. P., Kumar, Sunil
Tipo de recurso: artículo
Fecha de publicación:2009
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2099/8945
Acceso en línea:https://hdl.handle.net/2099/8945
Access Level:acceso abierto
Palabra clave:Sampling (Statistics)
Double sampling
Mean squared error
Non-response
Study variable
Auxiliary variable
Mostreig (Estadística)
Classificació AMS::62 Statistics::62D05 Sampling theory, sample surveys
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
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spelling A general procedure of estimating the population mean in the presence of non-response under double sampling using auxiliary informationSingh, H. P.Kumar, SunilSampling (Statistics)Double samplingMean squared errorNon-responseStudy variableAuxiliary variableMostreig (Estadística)Classificació AMS::62 Statistics::62D05 Sampling theory, sample surveysÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàticaIn the present study, we propose a general class of estimators for population mean of the study variable in the presence of non-response using auxiliary information under double sampling. The expression of mean squared error (MSE) of the proposed class of estimators is derived under double (two-stage) sampling. Some estimators are also derived from the proposed class by allocating the suitable values of constants used. Comparisons of the proposed strategy with the usual unbiased estimator and other estimators are carried out. The results obtained are illustrated numerically using an empirical sample considered in the literature.Peer ReviewedInstitut d'Estadística de Catalunya20092009-01-0120102010-04-27journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2099/8945reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2099/89452026-05-27T15:37:01Z
dc.title.none.fl_str_mv A general procedure of estimating the population mean in the presence of non-response under double sampling using auxiliary information
title A general procedure of estimating the population mean in the presence of non-response under double sampling using auxiliary information
spellingShingle A general procedure of estimating the population mean in the presence of non-response under double sampling using auxiliary information
Singh, H. P.
Sampling (Statistics)
Double sampling
Mean squared error
Non-response
Study variable
Auxiliary variable
Mostreig (Estadística)
Classificació AMS::62 Statistics::62D05 Sampling theory, sample surveys
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
title_short A general procedure of estimating the population mean in the presence of non-response under double sampling using auxiliary information
title_full A general procedure of estimating the population mean in the presence of non-response under double sampling using auxiliary information
title_fullStr A general procedure of estimating the population mean in the presence of non-response under double sampling using auxiliary information
title_full_unstemmed A general procedure of estimating the population mean in the presence of non-response under double sampling using auxiliary information
title_sort A general procedure of estimating the population mean in the presence of non-response under double sampling using auxiliary information
dc.creator.none.fl_str_mv Singh, H. P.
Kumar, Sunil
author Singh, H. P.
author_facet Singh, H. P.
Kumar, Sunil
author_role author
author2 Kumar, Sunil
author2_role author
dc.subject.none.fl_str_mv Sampling (Statistics)
Double sampling
Mean squared error
Non-response
Study variable
Auxiliary variable
Mostreig (Estadística)
Classificació AMS::62 Statistics::62D05 Sampling theory, sample surveys
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
topic Sampling (Statistics)
Double sampling
Mean squared error
Non-response
Study variable
Auxiliary variable
Mostreig (Estadística)
Classificació AMS::62 Statistics::62D05 Sampling theory, sample surveys
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
description In the present study, we propose a general class of estimators for population mean of the study variable in the presence of non-response using auxiliary information under double sampling. The expression of mean squared error (MSE) of the proposed class of estimators is derived under double (two-stage) sampling. Some estimators are also derived from the proposed class by allocating the suitable values of constants used. Comparisons of the proposed strategy with the usual unbiased estimator and other estimators are carried out. The results obtained are illustrated numerically using an empirical sample considered in the literature.
publishDate 2009
dc.date.none.fl_str_mv 2009
2009-01-01
2010
2010-04-27
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/2099/8945
url https://hdl.handle.net/2099/8945
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 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/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 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/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 15,300724

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