Factorial and response surface designs robust to missing observations

Detalhes bibliográficos
Autor(a) principal: Silva, Marcelo A. da
Data de Publicação: 2017
Outros Autores: Gilmour, Steven G., Trinca, Luzia A. [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.csda.2016.05.023
http://hdl.handle.net/11449/162959
Resumo: Compound optimum design criteria which allow pure error degrees of freedom may produce designs that break down when even a single run is missing, if the number of experimental units is small. The inclusion, in the compound criteria, of a measure of leverage uniformity is proposed in order to produce designs that are more robust to missing observations. By appropriately choosing the weights of each part of the criterion, robust designs are obtained that are also highly efficient in terms of other properties. Applications to various experimental setups show the advantages of the new methods. (C) 2016 Elsevier B.V. All rights reserved.
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spelling Factorial and response surface designs robust to missing observationsCompound criteriaCook's distanceLeverageOptimum designPure errorCompound optimum design criteria which allow pure error degrees of freedom may produce designs that break down when even a single run is missing, if the number of experimental units is small. The inclusion, in the compound criteria, of a measure of leverage uniformity is proposed in order to produce designs that are more robust to missing observations. By appropriately choosing the weights of each part of the criterion, robust designs are obtained that are also highly efficient in terms of other properties. Applications to various experimental setups show the advantages of the new methods. (C) 2016 Elsevier B.V. All rights reserved.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)USP UFSCar, Programa Interinst Posgrad Estat, Sao Carlos, SP, BrazilKings Coll London, Dept Math, London, EnglandUniv Estadual Paulista, Dept Bioestat, IB, Botucatu, SP, BrazilUniv Estadual Paulista, Dept Bioestat, IB, Botucatu, SP, BrazilFAPESP: 2014/01818-0Elsevier B.V.Universidade de São Paulo (USP)Kings Coll LondonUniversidade Estadual Paulista (Unesp)Silva, Marcelo A. daGilmour, Steven G.Trinca, Luzia A. [UNESP]2018-11-26T17:35:05Z2018-11-26T17:35:05Z2017-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article261-272application/pdfhttp://dx.doi.org/10.1016/j.csda.2016.05.023Computational Statistics & Data Analysis. Amsterdam: Elsevier Science Bv, v. 113, p. 261-272, 2017.0167-9473http://hdl.handle.net/11449/16295910.1016/j.csda.2016.05.023WOS:000404822600021WOS000404822600021.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengComputational Statistics & Data Analysis1,396info:eu-repo/semantics/openAccess2024-01-21T06:23:00Zoai:repositorio.unesp.br:11449/162959Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-05-23T21:19:27.040706Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Factorial and response surface designs robust to missing observations
title Factorial and response surface designs robust to missing observations
spellingShingle Factorial and response surface designs robust to missing observations
Silva, Marcelo A. da
Compound criteria
Cook's distance
Leverage
Optimum design
Pure error
title_short Factorial and response surface designs robust to missing observations
title_full Factorial and response surface designs robust to missing observations
title_fullStr Factorial and response surface designs robust to missing observations
title_full_unstemmed Factorial and response surface designs robust to missing observations
title_sort Factorial and response surface designs robust to missing observations
author Silva, Marcelo A. da
author_facet Silva, Marcelo A. da
Gilmour, Steven G.
Trinca, Luzia A. [UNESP]
author_role author
author2 Gilmour, Steven G.
Trinca, Luzia A. [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Kings Coll London
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Silva, Marcelo A. da
Gilmour, Steven G.
Trinca, Luzia A. [UNESP]
dc.subject.por.fl_str_mv Compound criteria
Cook's distance
Leverage
Optimum design
Pure error
topic Compound criteria
Cook's distance
Leverage
Optimum design
Pure error
description Compound optimum design criteria which allow pure error degrees of freedom may produce designs that break down when even a single run is missing, if the number of experimental units is small. The inclusion, in the compound criteria, of a measure of leverage uniformity is proposed in order to produce designs that are more robust to missing observations. By appropriately choosing the weights of each part of the criterion, robust designs are obtained that are also highly efficient in terms of other properties. Applications to various experimental setups show the advantages of the new methods. (C) 2016 Elsevier B.V. All rights reserved.
publishDate 2017
dc.date.none.fl_str_mv 2017-09-01
2018-11-26T17:35:05Z
2018-11-26T17:35:05Z
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/10.1016/j.csda.2016.05.023
Computational Statistics & Data Analysis. Amsterdam: Elsevier Science Bv, v. 113, p. 261-272, 2017.
0167-9473
http://hdl.handle.net/11449/162959
10.1016/j.csda.2016.05.023
WOS:000404822600021
WOS000404822600021.pdf
url http://dx.doi.org/10.1016/j.csda.2016.05.023
http://hdl.handle.net/11449/162959
identifier_str_mv Computational Statistics & Data Analysis. Amsterdam: Elsevier Science Bv, v. 113, p. 261-272, 2017.
0167-9473
10.1016/j.csda.2016.05.023
WOS:000404822600021
WOS000404822600021.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Computational Statistics & Data Analysis
1,396
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 261-272
application/pdf
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
dc.source.none.fl_str_mv Web of Science
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_ 1803045738299523072

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