Factorial and response surface designs robust to missing observations
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
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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Repositório Institucional da UNESP |
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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:29462024-01-21T06:23Repositório 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_ |
1803650317236043776 |