Comparison of tests on covariance structures of normal populations
Autor(a) principal: | |
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Data de Publicação: | 2020 |
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/44456 |
Resumo: | In some studies, there is interest in testing the variance structure, as in the context of multivariate or modelling techniques. Therefore, the importance of using hypothesis tests on covariance structures is emphasized. The purpose of this study was to perform a detailed performance study regarding the power and type I error rate of some existing identity and sphericity tests, considering the scenarios with different numbers of variables (2 to 64) and sample sizes (5 to 100). The proposal of Ledoit and Wolf (2002) is the most appropriate to test the identity structure. For the sphericity test, the version of John (1972), modified by Ledoit and Wolf (2002), followed by the proposal of Box (1949), were the ones with the best performance. |
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Acta scientiarum. Technology (Online) |
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Comparison of tests on covariance structures of normal populationsComparison of tests on covariance structures of normal populationsPowerType I Error rateLikelihood RatioMonte Carlo Simulationpower; type i error rate; likelihood ratio; monte carlo simulation.In some studies, there is interest in testing the variance structure, as in the context of multivariate or modelling techniques. Therefore, the importance of using hypothesis tests on covariance structures is emphasized. The purpose of this study was to perform a detailed performance study regarding the power and type I error rate of some existing identity and sphericity tests, considering the scenarios with different numbers of variables (2 to 64) and sample sizes (5 to 100). The proposal of Ledoit and Wolf (2002) is the most appropriate to test the identity structure. For the sphericity test, the version of John (1972), modified by Ledoit and Wolf (2002), followed by the proposal of Box (1949), were the ones with the best performance.In some studies, there is interest in testing the variance structure, as in the context of multivariate or modelling techniques. Therefore, the importance of using hypothesis tests on covariance structures is emphasized. The purpose of this study was to perform a detailed performance study regarding the power and type I error rate of some existing identity and sphericity tests, considering the scenarios with different numbers of variables (2 to 64) and sample sizes (5 to 100). The proposal of Ledoit and Wolf (2002) is the most appropriate to test the identity structure. For the sphericity test, the version of John (1972), modified by Ledoit and Wolf (2002), followed by the proposal of Box (1949), were the ones with the best performance.Universidade Estadual De Maringá2020-05-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/4445610.4025/actascitechnol.v42i1.44456Acta Scientiarum. Technology; Vol 42 (2020): Publicação contínua; e44456Acta Scientiarum. Technology; v. 42 (2020): Publicação contínua; e444561806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/44456/751375150101Copyright (c) 2019 Acta Scientiarum. Technologyhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCampos, Isabella Marianne CostaNogueira, Denismar AlvesFerreira, Eric BatistaButturi-Gomes, Davi2020-06-23T17:13:57Zoai:periodicos.uem.br/ojs:article/44456Revistahttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/indexPUBhttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2020-06-23T17:13:57Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Comparison of tests on covariance structures of normal populations Comparison of tests on covariance structures of normal populations |
title |
Comparison of tests on covariance structures of normal populations |
spellingShingle |
Comparison of tests on covariance structures of normal populations Campos, Isabella Marianne Costa Power Type I Error rate Likelihood Ratio Monte Carlo Simulation power; type i error rate; likelihood ratio; monte carlo simulation. |
title_short |
Comparison of tests on covariance structures of normal populations |
title_full |
Comparison of tests on covariance structures of normal populations |
title_fullStr |
Comparison of tests on covariance structures of normal populations |
title_full_unstemmed |
Comparison of tests on covariance structures of normal populations |
title_sort |
Comparison of tests on covariance structures of normal populations |
author |
Campos, Isabella Marianne Costa |
author_facet |
Campos, Isabella Marianne Costa Nogueira, Denismar Alves Ferreira, Eric Batista Butturi-Gomes, Davi |
author_role |
author |
author2 |
Nogueira, Denismar Alves Ferreira, Eric Batista Butturi-Gomes, Davi |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Campos, Isabella Marianne Costa Nogueira, Denismar Alves Ferreira, Eric Batista Butturi-Gomes, Davi |
dc.subject.por.fl_str_mv |
Power Type I Error rate Likelihood Ratio Monte Carlo Simulation power; type i error rate; likelihood ratio; monte carlo simulation. |
topic |
Power Type I Error rate Likelihood Ratio Monte Carlo Simulation power; type i error rate; likelihood ratio; monte carlo simulation. |
description |
In some studies, there is interest in testing the variance structure, as in the context of multivariate or modelling techniques. Therefore, the importance of using hypothesis tests on covariance structures is emphasized. The purpose of this study was to perform a detailed performance study regarding the power and type I error rate of some existing identity and sphericity tests, considering the scenarios with different numbers of variables (2 to 64) and sample sizes (5 to 100). The proposal of Ledoit and Wolf (2002) is the most appropriate to test the identity structure. For the sphericity test, the version of John (1972), modified by Ledoit and Wolf (2002), followed by the proposal of Box (1949), were the ones with the best performance. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-05-28 |
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 |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/44456 10.4025/actascitechnol.v42i1.44456 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/44456 |
identifier_str_mv |
10.4025/actascitechnol.v42i1.44456 |
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/44456/751375150101 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 Acta Scientiarum. Technology https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 Acta Scientiarum. Technology https://creativecommons.org/licenses/by/4.0 |
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 42 (2020): Publicação contínua; e44456 Acta Scientiarum. Technology; v. 42 (2020): Publicação contínua; e44456 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_ |
1799315336937340928 |