Compound optimality criteria and graphical tools for designs for prediction

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Federal de Santa Catarina (UFSC)-
Autor(es): dc.contributorKing's College London-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorOliveira, Heloisa M. de-
Autor(es): dc.creatorOliveira, César B. A. de-
Autor(es): dc.creatorGilmour, Steven G.-
Autor(es): dc.creatorTrinca, Luzia A.-
Data de aceite: dc.date.accessioned2025-08-21T19:24:45Z-
Data de disponibilização: dc.date.available2025-08-21T19:24:45Z-
Data de envio: dc.date.issued2023-03-01-
Data de envio: dc.date.issued2023-03-01-
Data de envio: dc.date.issued2021-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1002/qre.3150-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/240210-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/240210-
Descrição: dc.descriptionThe prediction capability of a design is an important issue in response surface methodology. Following the line of argument that a design should have several desirable properties, we have extended an existing compound design criterion to include prediction properties, with interval predictions allowed for. We explain that predictions of differences in responses are often more useful than predictions of responses themselves, which leads to the definition of the (Formula presented.) -optimality criterion. The work also introduces several extensions of existing graphical tools for inspecting prediction performances of the designs in the whole region of experimentation. Two examples illustrate the methods, one for the cubic and the other for the spherical region. We compare the new, classical and standard optimum designs using the graphical tools.-
Descrição: dc.descriptionUniversidade Federal de Santa Catarina, SC-
Descrição: dc.descriptionKing's College London-
Descrição: dc.descriptionUniversidade Estadual Paulista, SP-
Descrição: dc.descriptionUniversidade Estadual Paulista, SP-
Idioma: dc.languageen-
Relação: dc.relationQuality and Reliability Engineering International-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectcompound criteria-
Palavras-chave: dc.subjectdispersion graphs-
Palavras-chave: dc.subjectFDS-
Palavras-chave: dc.subjectI-optimality-
Palavras-chave: dc.subjectpure error-
Título: dc.titleCompound optimality criteria and graphical tools for designs for prediction-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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