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Publicação:
Response surface experiments on processes with high variation

dc.contributor.authorGilmour, Steven G.
dc.contributor.authorTrinca, Luzia A. [UNESP]
dc.contributor.institutionUniversity of London
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-29T07:35:49Z
dc.date.available2022-04-29T07:35:49Z
dc.date.issued2006-01-01
dc.description.abstractIn 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.en
dc.description.affiliationSchool of Mathematical Sciences Queen Mary University of London, Mile End Road
dc.description.affiliationDepartamento de Bioestatistica - IB UNESP, CP 510
dc.description.affiliationUnespDepartamento de Bioestatistica - IB UNESP, CP 510
dc.format.extent19-46
dc.identifierhttp://dx.doi.org/10.1142/9789812774736_0002
dc.identifier.citationResponse Surface Methodology and Related Topics, p. 19-46.
dc.identifier.doi10.1142/9789812774736_0002
dc.identifier.scopus2-s2.0-84968911208
dc.identifier.urihttp://hdl.handle.net/11449/228153
dc.language.isoeng
dc.relation.ispartofResponse Surface Methodology and Related Topics
dc.sourceScopus
dc.titleResponse surface experiments on processes with high variationen
dc.typeCapítulo de livro
dspace.entity.typePublication
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências, Botucatupt
unesp.departmentBioestatística - IBBpt

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