EFFICIENCY OF RANKED SET SAMPLING IN HORTICULTURAL SURVEYS

Detalhes bibliográficos
Autor(a) principal: Jeelani, M Iqbal
Data de Publicação: 2015
Outros Autores: Bouza, Carlos N, Sautto, Jose M
Tipo de documento: Artigo
Idioma: por
Título da fonte: Cadernos do IME. Série Estatística (Online)
Texto Completo: https://www.e-publicacoes.uerj.br/cadest/article/view/19114
Resumo: DOI: 10.12957/cadest.2015.19114 Abstract In this paper, we explore the feasibility of using RSS (Ranked Set Sampling) in improving the estimates of the population mean in comparison  to SRS (Simple Random Sampling) in Horticultural research. We use an experience developed with a survey of apples in India. The numerical results suggest that RSS procedure results in a substantial reduction of standard errors, and  thus provides more efficient estimates than SRS, in the  specific Horticultural Survey studied, using the same sample size. Then it is recommended as an easy-to-use accurate method to management of this Horticulture problem. Key-words: Ranked Set Sampling, Simple Random Sampling, Standard Error, Accuracy.  
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spelling EFFICIENCY OF RANKED SET SAMPLING IN HORTICULTURAL SURVEYSDOI: 10.12957/cadest.2015.19114 Abstract In this paper, we explore the feasibility of using RSS (Ranked Set Sampling) in improving the estimates of the population mean in comparison  to SRS (Simple Random Sampling) in Horticultural research. We use an experience developed with a survey of apples in India. The numerical results suggest that RSS procedure results in a substantial reduction of standard errors, and  thus provides more efficient estimates than SRS, in the  specific Horticultural Survey studied, using the same sample size. Then it is recommended as an easy-to-use accurate method to management of this Horticulture problem. Key-words: Ranked Set Sampling, Simple Random Sampling, Standard Error, Accuracy.  Universidade do Estado do Rio de Janeiro2015-12-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado pelos Paresapplication/pdfhttps://www.e-publicacoes.uerj.br/cadest/article/view/1911410.12957/cadest.2015.19114Cadernos do IME - Série Estatística; v. 38 (2015): Volume 38, Junho de 2015; 372317-45361413-9022reponame:Cadernos do IME. Série Estatística (Online)instname:Universidade do Estado do Rio de Janeiro (UERJ)instacron:UERJporhttps://www.e-publicacoes.uerj.br/cadest/article/view/19114/14372Jeelani, M IqbalBouza, Carlos NSautto, Jose Minfo:eu-repo/semantics/openAccess2020-12-04T00:22:25Zoai:ojs.www.e-publicacoes.uerj.br:article/19114Revistahttps://www.e-publicacoes.uerj.br/index.php/cadestPUBhttps://www.e-publicacoes.uerj.br/index.php/cadest/oaifabiano@ime.uerj.br||fabiano@ime.uerj.br2317-45361413-9022opendoar:2024-05-17T13:37:35.031894Cadernos do IME. Série Estatística (Online) - Universidade do Estado do Rio de Janeiro (UERJ)false
dc.title.none.fl_str_mv EFFICIENCY OF RANKED SET SAMPLING IN HORTICULTURAL SURVEYS
title EFFICIENCY OF RANKED SET SAMPLING IN HORTICULTURAL SURVEYS
spellingShingle EFFICIENCY OF RANKED SET SAMPLING IN HORTICULTURAL SURVEYS
Jeelani, M Iqbal
title_short EFFICIENCY OF RANKED SET SAMPLING IN HORTICULTURAL SURVEYS
title_full EFFICIENCY OF RANKED SET SAMPLING IN HORTICULTURAL SURVEYS
title_fullStr EFFICIENCY OF RANKED SET SAMPLING IN HORTICULTURAL SURVEYS
title_full_unstemmed EFFICIENCY OF RANKED SET SAMPLING IN HORTICULTURAL SURVEYS
title_sort EFFICIENCY OF RANKED SET SAMPLING IN HORTICULTURAL SURVEYS
author Jeelani, M Iqbal
author_facet Jeelani, M Iqbal
Bouza, Carlos N
Sautto, Jose M
author_role author
author2 Bouza, Carlos N
Sautto, Jose M
author2_role author
author
dc.contributor.author.fl_str_mv Jeelani, M Iqbal
Bouza, Carlos N
Sautto, Jose M
description DOI: 10.12957/cadest.2015.19114 Abstract In this paper, we explore the feasibility of using RSS (Ranked Set Sampling) in improving the estimates of the population mean in comparison  to SRS (Simple Random Sampling) in Horticultural research. We use an experience developed with a survey of apples in India. The numerical results suggest that RSS procedure results in a substantial reduction of standard errors, and  thus provides more efficient estimates than SRS, in the  specific Horticultural Survey studied, using the same sample size. Then it is recommended as an easy-to-use accurate method to management of this Horticulture problem. Key-words: Ranked Set Sampling, Simple Random Sampling, Standard Error, Accuracy.  
publishDate 2015
dc.date.none.fl_str_mv 2015-12-10
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Avaliado pelos Pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.e-publicacoes.uerj.br/cadest/article/view/19114
10.12957/cadest.2015.19114
url https://www.e-publicacoes.uerj.br/cadest/article/view/19114
identifier_str_mv 10.12957/cadest.2015.19114
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://www.e-publicacoes.uerj.br/cadest/article/view/19114/14372
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade do Estado do Rio de Janeiro
publisher.none.fl_str_mv Universidade do Estado do Rio de Janeiro
dc.source.none.fl_str_mv Cadernos do IME - Série Estatística; v. 38 (2015): Volume 38, Junho de 2015; 37
2317-4536
1413-9022
reponame:Cadernos do IME. Série Estatística (Online)
instname:Universidade do Estado do Rio de Janeiro (UERJ)
instacron:UERJ
instname_str Universidade do Estado do Rio de Janeiro (UERJ)
instacron_str UERJ
institution UERJ
reponame_str Cadernos do IME. Série Estatística (Online)
collection Cadernos do IME. Série Estatística (Online)
repository.name.fl_str_mv Cadernos do IME. Série Estatística (Online) - Universidade do Estado do Rio de Janeiro (UERJ)
repository.mail.fl_str_mv fabiano@ime.uerj.br||fabiano@ime.uerj.br
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