Response surface experiments on processes with high variation

Detalhes bibliográficos
Autor(a) principal: Gilmour, Steven G.
Data de Publicação: 2006
Outros Autores: Trinca, Luzia A. [UNESP]
Tipo de documento: Capítulo de livro
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1142/9789812774736_0002
http://hdl.handle.net/11449/228153
Resumo: In industries such as food engineering, pharmaceuticals, bioprocessing and agrochemicals the use of biological materials means that, when experiments are being performed, run to run variation is typically higher than in many other engineering applications. This means that some of the smallest response surface designs are inappropriate and the traditional design principles of randomization, replication and blocking are more important. Recent work for response surface experiments of this type are reviewed in this chapter. Topics covered include the choice of run size, three-level designs, including some qualitative factors, arranging designs in various block structures, restricted randomization leading to multi-stratum designs and issues in the analysis of blocked and multistratum designs.
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spelling Response surface experiments on processes with high variationIn industries such as food engineering, pharmaceuticals, bioprocessing and agrochemicals the use of biological materials means that, when experiments are being performed, run to run variation is typically higher than in many other engineering applications. This means that some of the smallest response surface designs are inappropriate and the traditional design principles of randomization, replication and blocking are more important. Recent work for response surface experiments of this type are reviewed in this chapter. Topics covered include the choice of run size, three-level designs, including some qualitative factors, arranging designs in various block structures, restricted randomization leading to multi-stratum designs and issues in the analysis of blocked and multistratum designs.School of Mathematical Sciences Queen Mary University of London, Mile End RoadDepartamento de Bioestatistica - IB UNESP, CP 510Departamento de Bioestatistica - IB UNESP, CP 510University of LondonUniversidade Estadual Paulista (UNESP)Gilmour, Steven G.Trinca, Luzia A. [UNESP]2022-04-29T07:35:49Z2022-04-29T07:35:49Z2006-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookPart19-46http://dx.doi.org/10.1142/9789812774736_0002Response Surface Methodology and Related Topics, p. 19-46.http://hdl.handle.net/11449/22815310.1142/9789812774736_00022-s2.0-84968911208Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengResponse Surface Methodology and Related Topicsinfo:eu-repo/semantics/openAccess2022-04-29T07:35:49Zoai:repositorio.unesp.br:11449/228153Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:37:31.149967Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Response surface experiments on processes with high variation
title Response surface experiments on processes with high variation
spellingShingle Response surface experiments on processes with high variation
Gilmour, Steven G.
title_short Response surface experiments on processes with high variation
title_full Response surface experiments on processes with high variation
title_fullStr Response surface experiments on processes with high variation
title_full_unstemmed Response surface experiments on processes with high variation
title_sort Response surface experiments on processes with high variation
author Gilmour, Steven G.
author_facet Gilmour, Steven G.
Trinca, Luzia A. [UNESP]
author_role author
author2 Trinca, Luzia A. [UNESP]
author2_role author
dc.contributor.none.fl_str_mv University of London
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Gilmour, Steven G.
Trinca, Luzia A. [UNESP]
description In industries such as food engineering, pharmaceuticals, bioprocessing and agrochemicals the use of biological materials means that, when experiments are being performed, run to run variation is typically higher than in many other engineering applications. This means that some of the smallest response surface designs are inappropriate and the traditional design principles of randomization, replication and blocking are more important. Recent work for response surface experiments of this type are reviewed in this chapter. Topics covered include the choice of run size, three-level designs, including some qualitative factors, arranging designs in various block structures, restricted randomization leading to multi-stratum designs and issues in the analysis of blocked and multistratum designs.
publishDate 2006
dc.date.none.fl_str_mv 2006-01-01
2022-04-29T07:35:49Z
2022-04-29T07:35:49Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1142/9789812774736_0002
Response Surface Methodology and Related Topics, p. 19-46.
http://hdl.handle.net/11449/228153
10.1142/9789812774736_0002
2-s2.0-84968911208
url http://dx.doi.org/10.1142/9789812774736_0002
http://hdl.handle.net/11449/228153
identifier_str_mv Response Surface Methodology and Related Topics, p. 19-46.
10.1142/9789812774736_0002
2-s2.0-84968911208
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Response Surface Methodology and Related Topics
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reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
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instname_str Universidade Estadual Paulista (UNESP)
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