Applying regression models with skew-normal errors to the height of bedding plants of Stevia rebaudiana (Bert) Bertoni

Detalhes bibliográficos
Autor(a) principal: Guedes, Terezinha Aparecida
Data de Publicação: 2014
Outros Autores: Rossi, Robson Marcelo, Martins, Ana Beatriz Tozzo, Janeiro, Vanderly, Carneiro, José Walter Pedroza
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta scientiarum. Technology (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/21191
Resumo: The experiment had the objective of fitting regression models to data of the height of the bedding plants cultivated in three multicellular Styrofoam trays with three different cell volumes. We proposed two types of models in the current experiment. First, we fit a model with normal errors and next a model with a skew-normal distribution of errors. The skew-normal regression was suitable for modelling both cases. First, when the model included the time covariate and next when the cell size covariate was part of the model. However, the value of the parameter l for the multivariate model was very high, which is an indication that the skew-normal model is also not the best. Thus, we suggest further fitting using the skew regression model of t-Student. 
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spelling Applying regression models with skew-normal errors to the height of bedding plants of Stevia rebaudiana (Bert) Bertoniskew-normal distributionparameter estimationregression with skew-normal errorsProbabilidade e Estatística AplicadasThe experiment had the objective of fitting regression models to data of the height of the bedding plants cultivated in three multicellular Styrofoam trays with three different cell volumes. We proposed two types of models in the current experiment. First, we fit a model with normal errors and next a model with a skew-normal distribution of errors. The skew-normal regression was suitable for modelling both cases. First, when the model included the time covariate and next when the cell size covariate was part of the model. However, the value of the parameter l for the multivariate model was very high, which is an indication that the skew-normal model is also not the best. Thus, we suggest further fitting using the skew regression model of t-Student. Universidade Estadual De Maringá2014-02-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionanálise estatísticaapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/2119110.4025/actascitechnol.v36i3.21191Acta Scientiarum. Technology; Vol 36 No 3 (2014); 463-468Acta Scientiarum. Technology; v. 36 n. 3 (2014); 463-4681806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/21191/pdf_13Guedes, Terezinha AparecidaRossi, Robson MarceloMartins, Ana Beatriz TozzoJaneiro, VanderlyCarneiro, José Walter Pedrozainfo:eu-repo/semantics/openAccess2014-06-27T15:05:00Zoai:periodicos.uem.br/ojs:article/21191Revistahttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/indexPUBhttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2014-06-27T15:05Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Applying regression models with skew-normal errors to the height of bedding plants of Stevia rebaudiana (Bert) Bertoni
title Applying regression models with skew-normal errors to the height of bedding plants of Stevia rebaudiana (Bert) Bertoni
spellingShingle Applying regression models with skew-normal errors to the height of bedding plants of Stevia rebaudiana (Bert) Bertoni
Guedes, Terezinha Aparecida
skew-normal distribution
parameter estimation
regression with skew-normal errors
Probabilidade e Estatística Aplicadas
title_short Applying regression models with skew-normal errors to the height of bedding plants of Stevia rebaudiana (Bert) Bertoni
title_full Applying regression models with skew-normal errors to the height of bedding plants of Stevia rebaudiana (Bert) Bertoni
title_fullStr Applying regression models with skew-normal errors to the height of bedding plants of Stevia rebaudiana (Bert) Bertoni
title_full_unstemmed Applying regression models with skew-normal errors to the height of bedding plants of Stevia rebaudiana (Bert) Bertoni
title_sort Applying regression models with skew-normal errors to the height of bedding plants of Stevia rebaudiana (Bert) Bertoni
author Guedes, Terezinha Aparecida
author_facet Guedes, Terezinha Aparecida
Rossi, Robson Marcelo
Martins, Ana Beatriz Tozzo
Janeiro, Vanderly
Carneiro, José Walter Pedroza
author_role author
author2 Rossi, Robson Marcelo
Martins, Ana Beatriz Tozzo
Janeiro, Vanderly
Carneiro, José Walter Pedroza
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Guedes, Terezinha Aparecida
Rossi, Robson Marcelo
Martins, Ana Beatriz Tozzo
Janeiro, Vanderly
Carneiro, José Walter Pedroza
dc.subject.por.fl_str_mv skew-normal distribution
parameter estimation
regression with skew-normal errors
Probabilidade e Estatística Aplicadas
topic skew-normal distribution
parameter estimation
regression with skew-normal errors
Probabilidade e Estatística Aplicadas
description The experiment had the objective of fitting regression models to data of the height of the bedding plants cultivated in three multicellular Styrofoam trays with three different cell volumes. We proposed two types of models in the current experiment. First, we fit a model with normal errors and next a model with a skew-normal distribution of errors. The skew-normal regression was suitable for modelling both cases. First, when the model included the time covariate and next when the cell size covariate was part of the model. However, the value of the parameter l for the multivariate model was very high, which is an indication that the skew-normal model is also not the best. Thus, we suggest further fitting using the skew regression model of t-Student. 
publishDate 2014
dc.date.none.fl_str_mv 2014-02-26
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
análise estatística
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/21191
10.4025/actascitechnol.v36i3.21191
url http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/21191
identifier_str_mv 10.4025/actascitechnol.v36i3.21191
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/21191/pdf_13
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 Universidade Estadual De Maringá
publisher.none.fl_str_mv Universidade Estadual De Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Technology; Vol 36 No 3 (2014); 463-468
Acta Scientiarum. Technology; v. 36 n. 3 (2014); 463-468
1806-2563
1807-8664
reponame:Acta scientiarum. Technology (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta scientiarum. Technology (Online)
collection Acta scientiarum. Technology (Online)
repository.name.fl_str_mv Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv ||actatech@uem.br
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