Fighting Collinearity in QSPR Equations for Solution Kinetics with the Monte Carlo Method and Total Weighting
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Journal of the Brazilian Chemical Society (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532016001102070 |
Resumo: | A Monte Carlo method is used in addition to functional and individual weighting to overcome multicollinearity problems in multiple linear regression equations applied as quantitative-structure-property-relationships, allowing the estimation of correct coefficient confidence intervals. The method was applied to rate constants for the Menschutkin reaction between Et3N and EtI in mono- and di-alcohols, at 25.00 ºC. Results show that the use of our methodology produces a significant improvement upon confidence interval estimates regardless of the level of collinearity present. Addition of weighting shows additional advantages, increasing the overall consistency of the regression process. |
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Fighting Collinearity in QSPR Equations for Solution Kinetics with the Monte Carlo Method and Total WeightingMonte CarlomulticollinearitycorrelationMLRA Monte Carlo method is used in addition to functional and individual weighting to overcome multicollinearity problems in multiple linear regression equations applied as quantitative-structure-property-relationships, allowing the estimation of correct coefficient confidence intervals. The method was applied to rate constants for the Menschutkin reaction between Et3N and EtI in mono- and di-alcohols, at 25.00 ºC. Results show that the use of our methodology produces a significant improvement upon confidence interval estimates regardless of the level of collinearity present. Addition of weighting shows additional advantages, increasing the overall consistency of the regression process.Sociedade Brasileira de Química2016-11-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532016001102070Journal of the Brazilian Chemical Society v.27 n.11 2016reponame:Journal of the Brazilian Chemical Society (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.5935/0103-5053.20160097info:eu-repo/semantics/openAccessElvas-Leitão,Ruben A.eng2016-11-04T00:00:00Zoai:scielo:S0103-50532016001102070Revistahttp://jbcs.sbq.org.brONGhttps://old.scielo.br/oai/scielo-oai.php||office@jbcs.sbq.org.br1678-47900103-5053opendoar:2016-11-04T00:00Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ)false |
dc.title.none.fl_str_mv |
Fighting Collinearity in QSPR Equations for Solution Kinetics with the Monte Carlo Method and Total Weighting |
title |
Fighting Collinearity in QSPR Equations for Solution Kinetics with the Monte Carlo Method and Total Weighting |
spellingShingle |
Fighting Collinearity in QSPR Equations for Solution Kinetics with the Monte Carlo Method and Total Weighting Elvas-Leitão,Ruben A. Monte Carlo multicollinearity correlation MLR |
title_short |
Fighting Collinearity in QSPR Equations for Solution Kinetics with the Monte Carlo Method and Total Weighting |
title_full |
Fighting Collinearity in QSPR Equations for Solution Kinetics with the Monte Carlo Method and Total Weighting |
title_fullStr |
Fighting Collinearity in QSPR Equations for Solution Kinetics with the Monte Carlo Method and Total Weighting |
title_full_unstemmed |
Fighting Collinearity in QSPR Equations for Solution Kinetics with the Monte Carlo Method and Total Weighting |
title_sort |
Fighting Collinearity in QSPR Equations for Solution Kinetics with the Monte Carlo Method and Total Weighting |
author |
Elvas-Leitão,Ruben A. |
author_facet |
Elvas-Leitão,Ruben A. |
author_role |
author |
dc.contributor.author.fl_str_mv |
Elvas-Leitão,Ruben A. |
dc.subject.por.fl_str_mv |
Monte Carlo multicollinearity correlation MLR |
topic |
Monte Carlo multicollinearity correlation MLR |
description |
A Monte Carlo method is used in addition to functional and individual weighting to overcome multicollinearity problems in multiple linear regression equations applied as quantitative-structure-property-relationships, allowing the estimation of correct coefficient confidence intervals. The method was applied to rate constants for the Menschutkin reaction between Et3N and EtI in mono- and di-alcohols, at 25.00 ºC. Results show that the use of our methodology produces a significant improvement upon confidence interval estimates regardless of the level of collinearity present. Addition of weighting shows additional advantages, increasing the overall consistency of the regression process. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-11-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532016001102070 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532016001102070 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.5935/0103-5053.20160097 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Química |
publisher.none.fl_str_mv |
Sociedade Brasileira de Química |
dc.source.none.fl_str_mv |
Journal of the Brazilian Chemical Society v.27 n.11 2016 reponame:Journal of the Brazilian Chemical Society (Online) instname:Sociedade Brasileira de Química (SBQ) instacron:SBQ |
instname_str |
Sociedade Brasileira de Química (SBQ) |
instacron_str |
SBQ |
institution |
SBQ |
reponame_str |
Journal of the Brazilian Chemical Society (Online) |
collection |
Journal of the Brazilian Chemical Society (Online) |
repository.name.fl_str_mv |
Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ) |
repository.mail.fl_str_mv |
||office@jbcs.sbq.org.br |
_version_ |
1750318178796306432 |