Comparison of tests on covariance structures of normal populations

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Auteur principal: Isabella Marianne Costa Campos
Format: Artículo científico
Langue:en
Publié: Universidade Estadual de Maringá 2020
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author Isabella Marianne Costa Campos
author_facet Isabella Marianne Costa Campos
contents Comparison of tests on covariance structures of normal populations Isabella Marianne Costa Campos Denismar Alves Nogueira Eric Batista Ferreira Davi Butturi Gomes Ingeniería Power likelihood ratio type I error rate 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. 2020 artículo científico 1806-2563 https://www.redalyc.org/articulo.oa?id=303265671049 https://www.redalyc.org/journal/3032/303265671049/ https://www.redalyc.org/journal/3032/303265671049/html/ https://www.redalyc.org/journal/3032/303265671049/303265671049.epub https://www.redalyc.org/journal/3032/303265671049/movil https://doi.org/10.4025/actascitechnol.v42i1.44456 en http://www.redalyc.org/revista.oa?id=3032 Acta Scientiarum. Technology application/pdf Universidade Estadual de Maringá Acta Scientiarum. Technology (Brasil) Vol.42
format Artículo científico
id redalyc_303265671049
institution Redalyc
language en
publishDate 2020
publisher Universidade Estadual de Maringá
spellingShingle Comparison of tests on covariance structures of normal populations
Isabella Marianne Costa Campos
Ingeniería
Power
likelihood ratio
type I error rate
Monte Carlo simulation
Comparison of tests on covariance structures of normal populations Isabella Marianne Costa Campos Denismar Alves Nogueira Eric Batista Ferreira Davi Butturi Gomes Ingeniería Power likelihood ratio type I error rate 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. 2020 artículo científico 1806-2563 https://www.redalyc.org/articulo.oa?id=303265671049 https://www.redalyc.org/journal/3032/303265671049/ https://www.redalyc.org/journal/3032/303265671049/html/ https://www.redalyc.org/journal/3032/303265671049/303265671049.epub https://www.redalyc.org/journal/3032/303265671049/movil https://doi.org/10.4025/actascitechnol.v42i1.44456 en http://www.redalyc.org/revista.oa?id=3032 Acta Scientiarum. Technology application/pdf Universidade Estadual de Maringá Acta Scientiarum. Technology (Brasil) Vol.42
title Comparison of tests on covariance structures of normal populations
topic Ingeniería
Power
likelihood ratio
type I error rate
Monte Carlo simulation
url https://www.redalyc.org/articulo.oa?id=303265671049
https://www.redalyc.org/journal/3032/303265671049/
https://www.redalyc.org/journal/3032/303265671049/html/
https://www.redalyc.org/journal/3032/303265671049/303265671049.epub
https://www.redalyc.org/journal/3032/303265671049/movil
https://doi.org/10.4025/actascitechnol.v42i1.44456