THE APPLICABILITY OF LINEAR REGRESSION MODELS IN WORKING ENVIRONMENTSâ THERMAL EVALUATION
Autor(a) principal: | |
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Data de Publicação: | 2006 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Sistemas & Gestão |
Texto Completo: | https://www.revistasg.uff.br/sg/article/view/SG-V1N1A5 |
Resumo: | The simultaneous analysis of thermal variables with normal distribution with the aim of checking if there is any significative correlation among them or if there is the possibility of making predictions of the values of some of them based on othersâ values is considered a problem of great importance in statistics studies. The aim of this paper is to study the applicability of linear regression models in working environmentsâ thermal comfort studies, thus contributing for the comprehension of the possible environmental cooling, heating or winding needs. It starts with a bibliographical research, followed by a field research, data collection and and software statistical-mathematical data treatment. It was then performed data analysis and the construction of the regression linear models using the t and F tests for determining the consistency of the models and their parameters, as well as the building of conclusions based on the information obtained and on the significance of the mathematical models built. |
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THE APPLICABILITY OF LINEAR REGRESSION MODELS IN WORKING ENVIRONMENTSâ THERMAL EVALUATIONTHE APPLICABILITY OF LINEAR REGRESSION MODELS IN WORKING ENVIRONMENTSâ THERMAL EVALUATIONThe applicability of linear regression models in working environmentsâ thermal evaluationregression modelsthermal evaluationworking environmentsregression modelsthermal evaluationworking environmentsregression modelsthermal evaluationworking environmentsThe simultaneous analysis of thermal variables with normal distribution with the aim of checking if there is any significative correlation among them or if there is the possibility of making predictions of the values of some of them based on othersâ values is considered a problem of great importance in statistics studies. The aim of this paper is to study the applicability of linear regression models in working environmentsâ thermal comfort studies, thus contributing for the comprehension of the possible environmental cooling, heating or winding needs. It starts with a bibliographical research, followed by a field research, data collection and and software statistical-mathematical data treatment. It was then performed data analysis and the construction of the regression linear models using the t and F tests for determining the consistency of the models and their parameters, as well as the building of conclusions based on the information obtained and on the significance of the mathematical models built.The simultaneous analysis of thermal variables with normal distribution with the aim of checking if there is any significative correlation among them or if there is the possibility of making predictions of the values of some of them based on othersâ values is considered a problem of great importance in statistics studies. The aim of this paper is to study the applicability of linear regression models in working environmentsâ thermal comfort studies, thus contributing for the comprehension of the possible environmental cooling, heating or winding needs. It starts with a bibliographical research, followed by a field research, data collection and and software statistical-mathematical data treatment. It was then performed data analysis and the construction of the regression linear models using the t and F tests for determining the consistency of the models and their parameters, as well as the building of conclusions based on the information obtained and on the significance of the mathematical models built.The simultaneous analysis of thermal variables with normal distribution with the aim of checking if there is any significative correlation among them or if there is the possibility of making predictions of the values of some of them based on othersâ values is considered a problem of great importance in statistics studies. The aim of this paper is to study the applicability of linear regression models in working environmentsâ thermal comfort studies, thus contributing for the comprehension of the possible environmental cooling, heating or winding needs. It starts with a bibliographical research, followed by a field research, data collection and and software statistical-mathematical data treatment. It was then performed data analysis and the construction of the regression linear models using the t and F tests for determining the consistency of the models and their parameters, as well as the building of conclusions based on the information obtained and on the significance of the mathematical models built.ABEC2006-05-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistasg.uff.br/sg/article/view/SG-V1N1A510.7177/sg.2006.SG-V1N1A5Sistemas & Gestão; v. 1 n. 1 (2006): Abril/2006; 75-851980-516010.7177/sg.2006.v1.n1reponame:Sistemas & Gestãoinstname:Universidade Federal Fluminense (UFF)instacron:UFFporhttps://www.revistasg.uff.br/sg/article/view/SG-V1N1A5/11Copyright (c) 2015 Sistemas & Gestãoinfo:eu-repo/semantics/openAccessDa Silva, Luiz BuenoCoutinho, Antonio SoutoDe Oliveira, Pablo Adamoglu2023-01-09T18:18:55Zoai:ojs.www.revistasg.uff.br:article/5Revistahttps://www.revistasg.uff.br/sgPUBhttps://www.revistasg.uff.br/sg/oai||sg.revista@gmail.com|| periodicos@proppi.uff.br1980-51601980-5160opendoar:2023-01-09T18:18:55Sistemas & Gestão - Universidade Federal Fluminense (UFF)false |
dc.title.none.fl_str_mv |
THE APPLICABILITY OF LINEAR REGRESSION MODELS IN WORKING ENVIRONMENTSâ THERMAL EVALUATION THE APPLICABILITY OF LINEAR REGRESSION MODELS IN WORKING ENVIRONMENTSâ THERMAL EVALUATION The applicability of linear regression models in working environmentsâ thermal evaluation |
title |
THE APPLICABILITY OF LINEAR REGRESSION MODELS IN WORKING ENVIRONMENTSâ THERMAL EVALUATION |
spellingShingle |
THE APPLICABILITY OF LINEAR REGRESSION MODELS IN WORKING ENVIRONMENTSâ THERMAL EVALUATION Da Silva, Luiz Bueno regression models thermal evaluation working environments regression models thermal evaluation working environments regression models thermal evaluation working environments |
title_short |
THE APPLICABILITY OF LINEAR REGRESSION MODELS IN WORKING ENVIRONMENTSâ THERMAL EVALUATION |
title_full |
THE APPLICABILITY OF LINEAR REGRESSION MODELS IN WORKING ENVIRONMENTSâ THERMAL EVALUATION |
title_fullStr |
THE APPLICABILITY OF LINEAR REGRESSION MODELS IN WORKING ENVIRONMENTSâ THERMAL EVALUATION |
title_full_unstemmed |
THE APPLICABILITY OF LINEAR REGRESSION MODELS IN WORKING ENVIRONMENTSâ THERMAL EVALUATION |
title_sort |
THE APPLICABILITY OF LINEAR REGRESSION MODELS IN WORKING ENVIRONMENTSâ THERMAL EVALUATION |
author |
Da Silva, Luiz Bueno |
author_facet |
Da Silva, Luiz Bueno Coutinho, Antonio Souto De Oliveira, Pablo Adamoglu |
author_role |
author |
author2 |
Coutinho, Antonio Souto De Oliveira, Pablo Adamoglu |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Da Silva, Luiz Bueno Coutinho, Antonio Souto De Oliveira, Pablo Adamoglu |
dc.subject.por.fl_str_mv |
regression models thermal evaluation working environments regression models thermal evaluation working environments regression models thermal evaluation working environments |
topic |
regression models thermal evaluation working environments regression models thermal evaluation working environments regression models thermal evaluation working environments |
description |
The simultaneous analysis of thermal variables with normal distribution with the aim of checking if there is any significative correlation among them or if there is the possibility of making predictions of the values of some of them based on othersâ values is considered a problem of great importance in statistics studies. The aim of this paper is to study the applicability of linear regression models in working environmentsâ thermal comfort studies, thus contributing for the comprehension of the possible environmental cooling, heating or winding needs. It starts with a bibliographical research, followed by a field research, data collection and and software statistical-mathematical data treatment. It was then performed data analysis and the construction of the regression linear models using the t and F tests for determining the consistency of the models and their parameters, as well as the building of conclusions based on the information obtained and on the significance of the mathematical models built. |
publishDate |
2006 |
dc.date.none.fl_str_mv |
2006-05-25 |
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://www.revistasg.uff.br/sg/article/view/SG-V1N1A5 10.7177/sg.2006.SG-V1N1A5 |
url |
https://www.revistasg.uff.br/sg/article/view/SG-V1N1A5 |
identifier_str_mv |
10.7177/sg.2006.SG-V1N1A5 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://www.revistasg.uff.br/sg/article/view/SG-V1N1A5/11 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2015 Sistemas & Gestão info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2015 Sistemas & Gestão |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
ABEC |
publisher.none.fl_str_mv |
ABEC |
dc.source.none.fl_str_mv |
Sistemas & Gestão; v. 1 n. 1 (2006): Abril/2006; 75-85 1980-5160 10.7177/sg.2006.v1.n1 reponame:Sistemas & Gestão instname:Universidade Federal Fluminense (UFF) instacron:UFF |
instname_str |
Universidade Federal Fluminense (UFF) |
instacron_str |
UFF |
institution |
UFF |
reponame_str |
Sistemas & Gestão |
collection |
Sistemas & Gestão |
repository.name.fl_str_mv |
Sistemas & Gestão - Universidade Federal Fluminense (UFF) |
repository.mail.fl_str_mv |
||sg.revista@gmail.com|| periodicos@proppi.uff.br |
_version_ |
1798320142172553216 |