FUNDAMENTAL CONCEPTS AND RECENT APPLICATIONS OF FACTORIAL STATISTICAL DESIGNS

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dc.contributor.authorMainardi, Pedro Henrique [UNESP]
dc.contributor.authorBidoia, Ederio Dino [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-05-01T15:46:16Z
dc.date.available2022-05-01T15:46:16Z
dc.date.issued2022-03-04
dc.description.abstractFactorial designs have been increasingly used in scientific investigations and technological development. The designs, through the use of matrices with all the treatment combinations, have been capable to effectively characterize the relationships between the variables of multi-factor experiments, assess the experimental variabilities, and derive mathematical functions that represent the behavior of the responses. Factorial designs were fractionalized, which substantially reduced the number of treatments without the loss of relevant information. The addition of central and star points to the factorial arrays has given them the orthogonality and rotatability characteristics, frequently used to fit models with curvature and identify critical regions of interest. Literature reports indicated that factorial designs, also called factorial experiments, were successfully applied in different types of investigations, including in cost evaluations and time-series studies. They were capable to estimate important features of the experiments, like the individual and combined effects of factors, the magnitude of residuals, additionally to express the relationships of the variables in polynomial equations, draw response surface and contour plots, and determine optimal combinations of parameters. In this review, the fundamental aspects of the Complete, Fractional, Central Composite Rotational and Asymmetrical factorial designs were conceptualized, and recent applications of these powerful tools were described.en
dc.description.affiliationUniversidade Estadual Paulista Júlio de Mesquita Filho-UNESP Instituto de Biociências Departamento de Biologia Geral e Aplicada, SP
dc.description.affiliationUnespUniversidade Estadual Paulista Júlio de Mesquita Filho-UNESP Instituto de Biociências Departamento de Biologia Geral e Aplicada, SP
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipIdCAPES: 001
dc.format.extent75-107
dc.identifierhttp://dx.doi.org/10.28951/bjb.v40i1.552
dc.identifier.citationRevista Brasileira de Biometria, v. 40, n. 1, p. 75-107, 2022.
dc.identifier.doi10.28951/bjb.v40i1.552
dc.identifier.issn1983-0823
dc.identifier.scopus2-s2.0-85126820795
dc.identifier.urihttp://hdl.handle.net/11449/234300
dc.language.isoeng
dc.relation.ispartofRevista Brasileira de Biometria
dc.sourceScopus
dc.subjectDesign of experiment
dc.subjectDOE
dc.subjectExperimental planning
dc.subjectProcess optimization
dc.subjectResearch design
dc.subjectStatistical model
dc.subjectStatistical plan
dc.titleFUNDAMENTAL CONCEPTS AND RECENT APPLICATIONS OF FACTORIAL STATISTICAL DESIGNSen
dc.typeArtigo

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