Evaluation of the behavior of thrips in several ground covers by regression models
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , |
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/31008 |
Resumo: | Using the number of thrips found in the maize seedlings from a longitudinal study, in this work a regression analysis was conducted through polynomial models and nonlinear logistic, under the assumption of homoscedasticity and multiplicative heteroscedasticity of variances. The response variable represents the number of thrips in adult phase observed in an entirely randomized trial involving 4 ground cover systems (tumbled oat, desiccated oat, mowed oat and incorporated oat), 8 replications with portions of 57.6 m2 and evaluated at 7, 11, 16, 23 and 31 days after the seedlings emergence. The parameters from the adopted models (homoscedastic and heteroscedastic) were estimated by maximizing the logarithm of the verisimilitude function. The adjusted model, via maximum verisimilitude, under the assumption of heteroscedasticity of the variances, did not over estimate the true asymptotic average number of thrips. |
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Acta scientiarum. Technology (Online) |
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Evaluation of the behavior of thrips in several ground covers by regression modelsground covernonlinear regressionheteroscedastic errors.Probabilidade e Estatística Using the number of thrips found in the maize seedlings from a longitudinal study, in this work a regression analysis was conducted through polynomial models and nonlinear logistic, under the assumption of homoscedasticity and multiplicative heteroscedasticity of variances. The response variable represents the number of thrips in adult phase observed in an entirely randomized trial involving 4 ground cover systems (tumbled oat, desiccated oat, mowed oat and incorporated oat), 8 replications with portions of 57.6 m2 and evaluated at 7, 11, 16, 23 and 31 days after the seedlings emergence. The parameters from the adopted models (homoscedastic and heteroscedastic) were estimated by maximizing the logarithm of the verisimilitude function. The adjusted model, via maximum verisimilitude, under the assumption of heteroscedasticity of the variances, did not over estimate the true asymptotic average number of thrips. Universidade Estadual De Maringá2018-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionRegressão não linearapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/3100810.4025/actascitechnol.v40i1.31008Acta Scientiarum. Technology; Vol 40 (2018): Publicação Contínua; e31008Acta Scientiarum. Technology; v. 40 (2018): Publicação Contínua; e310081806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/31008/pdfCopyright (c) 2017 Acta Scientiarum. Technologyinfo:eu-repo/semantics/openAccessAraujo, Angela Maria Marcone deMazucheli, JosmarScapim, Carlos AlbertoAlbuquerque, Fernando Alves deVivas, Marcelo2019-07-17T11:53:47Zoai:periodicos.uem.br/ojs:article/31008Revistahttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/indexPUBhttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2019-07-17T11:53:47Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Evaluation of the behavior of thrips in several ground covers by regression models |
title |
Evaluation of the behavior of thrips in several ground covers by regression models |
spellingShingle |
Evaluation of the behavior of thrips in several ground covers by regression models Araujo, Angela Maria Marcone de ground cover nonlinear regression heteroscedastic errors. Probabilidade e Estatística |
title_short |
Evaluation of the behavior of thrips in several ground covers by regression models |
title_full |
Evaluation of the behavior of thrips in several ground covers by regression models |
title_fullStr |
Evaluation of the behavior of thrips in several ground covers by regression models |
title_full_unstemmed |
Evaluation of the behavior of thrips in several ground covers by regression models |
title_sort |
Evaluation of the behavior of thrips in several ground covers by regression models |
author |
Araujo, Angela Maria Marcone de |
author_facet |
Araujo, Angela Maria Marcone de Mazucheli, Josmar Scapim, Carlos Alberto Albuquerque, Fernando Alves de Vivas, Marcelo |
author_role |
author |
author2 |
Mazucheli, Josmar Scapim, Carlos Alberto Albuquerque, Fernando Alves de Vivas, Marcelo |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Araujo, Angela Maria Marcone de Mazucheli, Josmar Scapim, Carlos Alberto Albuquerque, Fernando Alves de Vivas, Marcelo |
dc.subject.por.fl_str_mv |
ground cover nonlinear regression heteroscedastic errors. Probabilidade e Estatística |
topic |
ground cover nonlinear regression heteroscedastic errors. Probabilidade e Estatística |
description |
Using the number of thrips found in the maize seedlings from a longitudinal study, in this work a regression analysis was conducted through polynomial models and nonlinear logistic, under the assumption of homoscedasticity and multiplicative heteroscedasticity of variances. The response variable represents the number of thrips in adult phase observed in an entirely randomized trial involving 4 ground cover systems (tumbled oat, desiccated oat, mowed oat and incorporated oat), 8 replications with portions of 57.6 m2 and evaluated at 7, 11, 16, 23 and 31 days after the seedlings emergence. The parameters from the adopted models (homoscedastic and heteroscedastic) were estimated by maximizing the logarithm of the verisimilitude function. The adjusted model, via maximum verisimilitude, under the assumption of heteroscedasticity of the variances, did not over estimate the true asymptotic average number of thrips. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Regressão não linear |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/31008 10.4025/actascitechnol.v40i1.31008 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/31008 |
identifier_str_mv |
10.4025/actascitechnol.v40i1.31008 |
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/31008/pdf |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Acta Scientiarum. Technology info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Acta Scientiarum. Technology |
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 40 (2018): Publicação Contínua; e31008 Acta Scientiarum. Technology; v. 40 (2018): Publicação Contínua; e31008 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 |
_version_ |
1799315336382644224 |