A useful empirical bayesian method to analyse industrial data from saturated factorial designs
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.5267/j.ijiec.2013.04.001 http://hdl.handle.net/11449/75365 |
Resumo: | The use of saturated two-level designs is very popular, especially in industrial applications where the cost of experiments is too high. Standard classical approaches are not appropriate to analyze data from saturated designs, since we could only get the estimates of the main factor effects and we would not have degrees of freedom to estimate the variance of the error. In this paper, we propose the use of empirical Bayesian procedures to get inferences for data obtained from saturated designs. The proposed methodology is illustrated assuming a simulated data set. © 2013 Growing Science Ltd. All rights reserved. |
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Repositório Institucional da UNESP |
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A useful empirical bayesian method to analyse industrial data from saturated factorial designsEmpirical bayesian methodsPlackett-burman designsSaturated designsThe use of saturated two-level designs is very popular, especially in industrial applications where the cost of experiments is too high. Standard classical approaches are not appropriate to analyze data from saturated designs, since we could only get the estimates of the main factor effects and we would not have degrees of freedom to estimate the variance of the error. In this paper, we propose the use of empirical Bayesian procedures to get inferences for data obtained from saturated designs. The proposed methodology is illustrated assuming a simulated data set. © 2013 Growing Science Ltd. All rights reserved.StatisticsDepartment - UNESP Universidade Estadual Paulista, Presidente Prudente, SPUniversity Center of Araraquara, Rua Carlos Gomes, 1338 - Centro, CEP 14801-340. Araraquara - SPStatisticsDepartment - UNESP Universidade Estadual Paulista, Presidente Prudente, SPUniversidade Estadual Paulista (Unesp)University Center of AraraquaraYukie Baba, Marta [UNESP]Alberto Achcar, Jorge [UNESP]Antonio Moala, Fernando [UNESP]Minoru Oikawa, Sergio [UNESP]Luis Piratelli, Claudio2014-05-27T11:29:28Z2014-05-27T11:29:28Z2013-05-07info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article337-344application/pdfhttp://dx.doi.org/10.5267/j.ijiec.2013.04.001International Journal of Industrial Engineering Computations, v. 4, n. 3, p. 337-344, 2013.1923-29261923-2934http://hdl.handle.net/11449/7536510.5267/j.ijiec.2013.04.0012-s2.0-848770053372-s2.0-84877005337.pdf249668631507995416212695523666974182935185298861Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Journal of Industrial Engineering Computations0,5370,537info:eu-repo/semantics/openAccess2024-06-18T18:18:16Zoai:repositorio.unesp.br:11449/75365Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:49:14.917154Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A useful empirical bayesian method to analyse industrial data from saturated factorial designs |
title |
A useful empirical bayesian method to analyse industrial data from saturated factorial designs |
spellingShingle |
A useful empirical bayesian method to analyse industrial data from saturated factorial designs Yukie Baba, Marta [UNESP] Empirical bayesian methods Plackett-burman designs Saturated designs |
title_short |
A useful empirical bayesian method to analyse industrial data from saturated factorial designs |
title_full |
A useful empirical bayesian method to analyse industrial data from saturated factorial designs |
title_fullStr |
A useful empirical bayesian method to analyse industrial data from saturated factorial designs |
title_full_unstemmed |
A useful empirical bayesian method to analyse industrial data from saturated factorial designs |
title_sort |
A useful empirical bayesian method to analyse industrial data from saturated factorial designs |
author |
Yukie Baba, Marta [UNESP] |
author_facet |
Yukie Baba, Marta [UNESP] Alberto Achcar, Jorge [UNESP] Antonio Moala, Fernando [UNESP] Minoru Oikawa, Sergio [UNESP] Luis Piratelli, Claudio |
author_role |
author |
author2 |
Alberto Achcar, Jorge [UNESP] Antonio Moala, Fernando [UNESP] Minoru Oikawa, Sergio [UNESP] Luis Piratelli, Claudio |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) University Center of Araraquara |
dc.contributor.author.fl_str_mv |
Yukie Baba, Marta [UNESP] Alberto Achcar, Jorge [UNESP] Antonio Moala, Fernando [UNESP] Minoru Oikawa, Sergio [UNESP] Luis Piratelli, Claudio |
dc.subject.por.fl_str_mv |
Empirical bayesian methods Plackett-burman designs Saturated designs |
topic |
Empirical bayesian methods Plackett-burman designs Saturated designs |
description |
The use of saturated two-level designs is very popular, especially in industrial applications where the cost of experiments is too high. Standard classical approaches are not appropriate to analyze data from saturated designs, since we could only get the estimates of the main factor effects and we would not have degrees of freedom to estimate the variance of the error. In this paper, we propose the use of empirical Bayesian procedures to get inferences for data obtained from saturated designs. The proposed methodology is illustrated assuming a simulated data set. © 2013 Growing Science Ltd. All rights reserved. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-05-07 2014-05-27T11:29:28Z 2014-05-27T11:29:28Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.5267/j.ijiec.2013.04.001 International Journal of Industrial Engineering Computations, v. 4, n. 3, p. 337-344, 2013. 1923-2926 1923-2934 http://hdl.handle.net/11449/75365 10.5267/j.ijiec.2013.04.001 2-s2.0-84877005337 2-s2.0-84877005337.pdf 2496686315079954 1621269552366697 4182935185298861 |
url |
http://dx.doi.org/10.5267/j.ijiec.2013.04.001 http://hdl.handle.net/11449/75365 |
identifier_str_mv |
International Journal of Industrial Engineering Computations, v. 4, n. 3, p. 337-344, 2013. 1923-2926 1923-2934 10.5267/j.ijiec.2013.04.001 2-s2.0-84877005337 2-s2.0-84877005337.pdf 2496686315079954 1621269552366697 4182935185298861 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
International Journal of Industrial Engineering Computations 0,537 0,537 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
337-344 application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129361556013056 |