Multistratum response surface designs

dc.contributor.authorTrinca, L. A.
dc.contributor.authorGilmour, S. G.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniv London
dc.date.accessioned2014-05-20T13:47:38Z
dc.date.available2014-05-20T13:47:38Z
dc.date.issued2001-02-01
dc.description.abstractResponse surface designs are usually described as if the treatments have been completely randomized to the experimental units. However, in practice there is often a structure to the units, implying the need for blocking. If, in addition, some factors are more difficult to vary between units than others, a multistratum structure arises naturally. We present a general strategy for constructing response surface designs in multistratum unit structures. Designs are constructed stratum by stratum, starting in the highest stratum. In each stratum a prespecified treatment set for the factors applied in that stratum is arranged to be nearly orthogonal to the units in the higher strata, allowing-for all the effects that have to be estimated. Three examples are given to show the applicability of the method and are also used to check the relationship of the final design to the choice of treatment set. Finally, some practical considerations in randomization are discussed.en
dc.description.affiliationUNESP, Dept Bioestatist, IB, BR-18618000 Botucatu, SP, Brazil
dc.description.affiliationUniv London, Sch Math Sci, London E1 4NS, England
dc.description.affiliationUnespUNESP, Dept Bioestatist, IB, BR-18618000 Botucatu, SP, Brazil
dc.format.extent25-33
dc.identifierhttp://dx.doi.org/10.1198/00401700152404291
dc.identifier.citationTechnometrics. Alexandria: Amer Statistical Assoc, v. 43, n. 1, p. 25-33, 2001.
dc.identifier.doi10.1198/00401700152404291
dc.identifier.issn0040-1706
dc.identifier.lattes3720489366427955
dc.identifier.urihttp://hdl.handle.net/11449/16955
dc.identifier.wosWOS:000167840800003
dc.language.isoeng
dc.publisherAmer Statistical Assoc
dc.relation.ispartofTechnometrics
dc.relation.ispartofjcr1.568
dc.relation.ispartofsjr1,546
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectblock structurept
dc.subjectfactorial designpt
dc.subjectindustrial experimentationpt
dc.subjectinterchange algorithmpt
dc.subjectresidual maximum likelihood (REML)pt
dc.subjectsplit-plot designpt
dc.titleMultistratum response surface designsen
dc.typeArtigo
dcterms.licensehttp://journalauthors.tandf.co.uk/permissions/reusingOwnWork.asp
dcterms.rightsHolderAmer Statistical Assoc
unesp.author.lattes3720489366427955
unesp.author.orcid0000-0003-1106-8505[1]
unesp.campusUniversidade Estadual Paulista (Unesp), Instituto de Biociências, Botucatupt
unesp.departmentBioestatística - IBBpt

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