Fitness of 2nd degree polinomials models in fertilizer research

Detalhes bibliográficos
Autor(a) principal: Zimmermann, Francisco José Pfeilsticker
Data de Publicação: 2014
Outros Autores: Conagin, Armando
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Agropecuária Brasileira (Online)
Texto Completo: https://seer.sct.embrapa.br/index.php/pab/article/view/15012
Resumo: The fitness of polinomials models is greatly affected by the model used, the coefficient of variation, localization of the points of maximum response and the number of experiments. Trying to obtain indication of those effects on the fitness of the models in fertilizer research, 2,400 experiments in the factorial design 1/5 (5 x 5 x 5) were simulated. The results showed that the best fitting is obtained when a larger number (ten) of experiments is used, when the experiments have a low coefficient of variation, and when the point of maximum is located at the left of the surface. The quadratic model was the one with the best fitness in this work, independently of the generator model.
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spelling Fitness of 2nd degree polinomials models in fertilizer researchAjuste de modelos polinomiais de 2º grau em pesquisas com fertilizantesresponse surface; quadratic model; coefficient of variation; fitness of models; generator modelsuperfícies de resposta; modelo quadrático; coeficiente de variação; ajuste de curvas; modelo geradorThe fitness of polinomials models is greatly affected by the model used, the coefficient of variation, localization of the points of maximum response and the number of experiments. Trying to obtain indication of those effects on the fitness of the models in fertilizer research, 2,400 experiments in the factorial design 1/5 (5 x 5 x 5) were simulated. The results showed that the best fitting is obtained when a larger number (ten) of experiments is used, when the experiments have a low coefficient of variation, and when the point of maximum is located at the left of the surface. The quadratic model was the one with the best fitness in this work, independently of the generator model.O ajuste de modelos polinomiais em pesquisa com fertilizantes é grandemente afetado pelo modelo usado, pelo coeficiente de variação, localização do ponto de máximo e agrupamento de experimentos. Visando obter indicações dos seus efeitos nestes ajustes de modelos polinomiais cm pesquisas com fertilizantes, 2.400 experimentos foram simulados, no delineamento fatorial 1/5 (5 x 5 x 5). Verificou-se que são obtidos melhores ajustes quando se agrupa maior número de experimentos (dez), quando os experimentos tiveram menor coeficiente de variação e quanto mais à esquerda, na curva, estiver localizado o ponto de máximo. Neste trabalho o modelo quadrático foi o de melhor ajuste, independentemente do modelo gerador.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraZimmermann, Francisco José PfeilstickerConagin, Armando2014-04-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/15012Pesquisa Agropecuaria Brasileira; v.21, n.9, set. 1986; 971-978Pesquisa Agropecuária Brasileira; v.21, n.9, set. 1986; 971-9781678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/15012/8726info:eu-repo/semantics/openAccess2014-10-30T16:15:01Zoai:ojs.seer.sct.embrapa.br:article/15012Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-10-30T16:15:01Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Fitness of 2nd degree polinomials models in fertilizer research
Ajuste de modelos polinomiais de 2º grau em pesquisas com fertilizantes
title Fitness of 2nd degree polinomials models in fertilizer research
spellingShingle Fitness of 2nd degree polinomials models in fertilizer research
Zimmermann, Francisco José Pfeilsticker
response surface; quadratic model; coefficient of variation; fitness of models; generator model
superfícies de resposta; modelo quadrático; coeficiente de variação; ajuste de curvas; modelo gerador
title_short Fitness of 2nd degree polinomials models in fertilizer research
title_full Fitness of 2nd degree polinomials models in fertilizer research
title_fullStr Fitness of 2nd degree polinomials models in fertilizer research
title_full_unstemmed Fitness of 2nd degree polinomials models in fertilizer research
title_sort Fitness of 2nd degree polinomials models in fertilizer research
author Zimmermann, Francisco José Pfeilsticker
author_facet Zimmermann, Francisco José Pfeilsticker
Conagin, Armando
author_role author
author2 Conagin, Armando
author2_role author
dc.contributor.none.fl_str_mv

dc.contributor.author.fl_str_mv Zimmermann, Francisco José Pfeilsticker
Conagin, Armando
dc.subject.por.fl_str_mv response surface; quadratic model; coefficient of variation; fitness of models; generator model
superfícies de resposta; modelo quadrático; coeficiente de variação; ajuste de curvas; modelo gerador
topic response surface; quadratic model; coefficient of variation; fitness of models; generator model
superfícies de resposta; modelo quadrático; coeficiente de variação; ajuste de curvas; modelo gerador
description The fitness of polinomials models is greatly affected by the model used, the coefficient of variation, localization of the points of maximum response and the number of experiments. Trying to obtain indication of those effects on the fitness of the models in fertilizer research, 2,400 experiments in the factorial design 1/5 (5 x 5 x 5) were simulated. The results showed that the best fitting is obtained when a larger number (ten) of experiments is used, when the experiments have a low coefficient of variation, and when the point of maximum is located at the left of the surface. The quadratic model was the one with the best fitness in this work, independently of the generator model.
publishDate 2014
dc.date.none.fl_str_mv 2014-04-17
dc.type.none.fl_str_mv
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/15012
url https://seer.sct.embrapa.br/index.php/pab/article/view/15012
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/15012/8726
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
dc.source.none.fl_str_mv Pesquisa Agropecuaria Brasileira; v.21, n.9, set. 1986; 971-978
Pesquisa Agropecuária Brasileira; v.21, n.9, set. 1986; 971-978
1678-3921
0100-104x
reponame:Pesquisa Agropecuária Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Agropecuária Brasileira (Online)
collection Pesquisa Agropecuária Brasileira (Online)
repository.name.fl_str_mv Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pab@sct.embrapa.br || sct.pab@embrapa.br
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