THE APPLICABILITY OF LINEAR REGRESSION MODELS IN WORKING ENVIRONMENTS’ THERMAL EVALUATION

Detalhes bibliográficos
Autor(a) principal: Da Silva, Luiz Bueno
Data de Publicação: 2006
Outros Autores: Coutinho, Antonio Souto, De Oliveira, Pablo Adamoglu
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 others’ 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 environments’ 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.
id UFF-13_c2fa614e3868e9950513df6721f5b35d
oai_identifier_str oai:ojs.www.revistasg.uff.br:article/5
network_acronym_str UFF-13
network_name_str Sistemas & Gestão
repository_id_str
spelling THE APPLICABILITY OF LINEAR REGRESSION MODELS IN WORKING ENVIRONMENTS’ THERMAL EVALUATIONTHE APPLICABILITY OF LINEAR REGRESSION MODELS IN WORKING ENVIRONMENTS’ THERMAL EVALUATIONThe applicability of linear regression models in working environments’ 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 others’ 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 environments’ 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 others’ 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 environments’ 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 others’ 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 environments’ 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 ENVIRONMENTS’ THERMAL EVALUATION
THE APPLICABILITY OF LINEAR REGRESSION MODELS IN WORKING ENVIRONMENTS’ THERMAL EVALUATION
The applicability of linear regression models in working environments’ thermal evaluation
title THE APPLICABILITY OF LINEAR REGRESSION MODELS IN WORKING ENVIRONMENTS’ THERMAL EVALUATION
spellingShingle THE APPLICABILITY OF LINEAR REGRESSION MODELS IN WORKING ENVIRONMENTS’ 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 ENVIRONMENTS’ THERMAL EVALUATION
title_full THE APPLICABILITY OF LINEAR REGRESSION MODELS IN WORKING ENVIRONMENTS’ THERMAL EVALUATION
title_fullStr THE APPLICABILITY OF LINEAR REGRESSION MODELS IN WORKING ENVIRONMENTS’ THERMAL EVALUATION
title_full_unstemmed THE APPLICABILITY OF LINEAR REGRESSION MODELS IN WORKING ENVIRONMENTS’ THERMAL EVALUATION
title_sort THE APPLICABILITY OF LINEAR REGRESSION MODELS IN WORKING ENVIRONMENTS’ 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 others’ 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 environments’ 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