Comparison of three permutation test algorithms applied to the multivariate means of two independent samples

Descripción del Articulo

The objective of this research was to compare three permutation test algo­rithms. Data scenarios obtained through the Monte Carlo simulation were proposed and the suggested algorithms were applied to each of them. The results showed a test power greater than 0,85. The first algorithm based on the Ho...

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Detalles Bibliográficos
Autor: Porras Cerrón, Jaime Carlos
Formato: artículo
Fecha de Publicación:2019
Institución:Universidad de Lima
Repositorio:Revistas - Universidad de Lima
Lenguaje:español
OAI Identifier:oai:ojs.pkp.sfu.ca:article/4545
Enlace del recurso:https://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/4545
Nivel de acceso:acceso abierto
Descripción
Sumario:The objective of this research was to compare three permutation test algo­rithms. Data scenarios obtained through the Monte Carlo simulation were proposed and the suggested algorithms were applied to each of them. The results showed a test power greater than 0,85. The first algorithm based on the Hotelling’s T2 presented the highest test power. The implementation of the algorithms was carried out using the R statistical program.
Comparison of three permutation test algorithms applied to the multivariate means of two independent samples
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