Analysing (1/125) 5^5 fractional factorial designs and some considerations

Detalhes bibliográficos
Autor(a) principal: Conagin, Armando
Data de Publicação: 2015
Outros Autores: Barbin, Décio, Demétrio, Clarice Garcia Borges, Moral, Rafael de Andrade
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/13948
Resumo: In this paper we discuss some aspects of (1/125)5^5 fractional factorial designs and show how to analyze a simulated data set. We present the analysis of variance, the estimated coefficients of the regression model, the determination of maximum response and the economical analysis. We also discuss how to allocate the 25 treatments of (1/5)5^3 fractional factorials in completely randomized, incomplete block or incomplete latin square designs and the 25 treatments of (1/25)5^4 fractional factorials in incomplete block design. We present the R program to perform the analysis in the Appendix.
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spelling Analysing (1/125) 5^5 fractional factorial designs and some considerationsAnalisando fatoriais fracionados (1/125) 5^5 e algumas consideraçõesFactorial experimentsHigh-order interactionsConfoundingSimulationExperimentos fatoriaisInterações de alta ordemSimulaçãoConfundimentoIn this paper we discuss some aspects of (1/125)5^5 fractional factorial designs and show how to analyze a simulated data set. We present the analysis of variance, the estimated coefficients of the regression model, the determination of maximum response and the economical analysis. We also discuss how to allocate the 25 treatments of (1/5)5^3 fractional factorials in completely randomized, incomplete block or incomplete latin square designs and the 25 treatments of (1/25)5^4 fractional factorials in incomplete block design. We present the R program to perform the analysis in the Appendix.Neste artigo, discutem-se alguns aspectos do fatorial fracionado (1/125) 5^5 ( e mostra-se como analisar um conjunto de dados simulados. Apresentam-se a análise de variância, os coeficientes estimados do modelo de regressão, a determinação da dose de máxima resposta e a dose econômica. Discute-se, também, como alocar os 25 tratamentos de fatoriais fracionados (1/5) 5^3, usando-se os delineamentos completamente casualizado, casualizado em blocos incompletos e quadrado latino incompleto e os 25 tratamentos de fatoriais fracionados (1/25) 5^4, usando-se os delineamentos completamente casualizado e casualizado em blocos incompletos. Apresenta-se no Apêndice o programa R para a análise.Universidade Federal de Lavras2015-12-292017-08-01T20:09:50Z2017-08-01T20:09:50Z2017-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articleapplication/pdfapplication/pdfCONAGIN, A. et al. Analysing (1/125) 5^5 fractional factorial designs and some considerations. Revista Brasileira de Biometria, Lavras, v. 33, n. 4, p. 471-483, dez. 2015.http://repositorio.ufla.br/jspui/handle/1/13948REVISTA BRASILEIRA DE BIOMETRIA; Vol 33 No 4 (2015); 471-4831983-0823reponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttp://www.biometria.ufla.br/index.php/BBJ/article/view/27/15Copyright (c) 2015 Armando CONAGIN, Décio BARBIN, Clarice Garcia Borges DEMÉTRIO, Rafael de Andrade MORALAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessConagin, ArmandoBarbin, DécioDemétrio, Clarice Garcia BorgesMoral, Rafael de AndradeConagin, ArmandoBarbin, DécioDemétrio, Clarice Garcia BorgesMoral, Rafael de Andrade2021-04-20T13:57:30Zoai:localhost:1/13948Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2021-04-20T13:57:30Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Analysing (1/125) 5^5 fractional factorial designs and some considerations
Analisando fatoriais fracionados (1/125) 5^5 e algumas considerações
title Analysing (1/125) 5^5 fractional factorial designs and some considerations
spellingShingle Analysing (1/125) 5^5 fractional factorial designs and some considerations
Conagin, Armando
Factorial experiments
High-order interactions
Confounding
Simulation
Experimentos fatoriais
Interações de alta ordem
Simulação
Confundimento
title_short Analysing (1/125) 5^5 fractional factorial designs and some considerations
title_full Analysing (1/125) 5^5 fractional factorial designs and some considerations
title_fullStr Analysing (1/125) 5^5 fractional factorial designs and some considerations
title_full_unstemmed Analysing (1/125) 5^5 fractional factorial designs and some considerations
title_sort Analysing (1/125) 5^5 fractional factorial designs and some considerations
author Conagin, Armando
author_facet Conagin, Armando
Barbin, Décio
Demétrio, Clarice Garcia Borges
Moral, Rafael de Andrade
author_role author
author2 Barbin, Décio
Demétrio, Clarice Garcia Borges
Moral, Rafael de Andrade
author2_role author
author
author
dc.contributor.author.fl_str_mv Conagin, Armando
Barbin, Décio
Demétrio, Clarice Garcia Borges
Moral, Rafael de Andrade
Conagin, Armando
Barbin, Décio
Demétrio, Clarice Garcia Borges
Moral, Rafael de Andrade
dc.subject.por.fl_str_mv Factorial experiments
High-order interactions
Confounding
Simulation
Experimentos fatoriais
Interações de alta ordem
Simulação
Confundimento
topic Factorial experiments
High-order interactions
Confounding
Simulation
Experimentos fatoriais
Interações de alta ordem
Simulação
Confundimento
description In this paper we discuss some aspects of (1/125)5^5 fractional factorial designs and show how to analyze a simulated data set. We present the analysis of variance, the estimated coefficients of the regression model, the determination of maximum response and the economical analysis. We also discuss how to allocate the 25 treatments of (1/5)5^3 fractional factorials in completely randomized, incomplete block or incomplete latin square designs and the 25 treatments of (1/25)5^4 fractional factorials in incomplete block design. We present the R program to perform the analysis in the Appendix.
publishDate 2015
dc.date.none.fl_str_mv 2015-12-29
2017-08-01T20:09:50Z
2017-08-01T20:09:50Z
2017-08-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv CONAGIN, A. et al. Analysing (1/125) 5^5 fractional factorial designs and some considerations. Revista Brasileira de Biometria, Lavras, v. 33, n. 4, p. 471-483, dez. 2015.
http://repositorio.ufla.br/jspui/handle/1/13948
identifier_str_mv CONAGIN, A. et al. Analysing (1/125) 5^5 fractional factorial designs and some considerations. Revista Brasileira de Biometria, Lavras, v. 33, n. 4, p. 471-483, dez. 2015.
url http://repositorio.ufla.br/jspui/handle/1/13948
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.biometria.ufla.br/index.php/BBJ/article/view/27/15
dc.rights.driver.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Lavras
publisher.none.fl_str_mv Universidade Federal de Lavras
dc.source.none.fl_str_mv REVISTA BRASILEIRA DE BIOMETRIA; Vol 33 No 4 (2015); 471-483
1983-0823
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
_version_ 1784550035643432960

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