Selection of categorical variables using correspondence and procrustes analysis
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Acta scientiarum. Technology (Online) |
Texto Completo: | http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/3084 |
Resumo: | Correspondence analysis is a technique of multivaried analysis (particularly, a method of factorial analysis to categorical variables) that allows us to obtain a graphic representation through the distribution of the scores from the categories of lines and/or columns in a system of coordinates. Krzanowski (1987) presented a methodology that combines the analysis of principal components with procrustes analysis to determine how much the new subset of variables represents the structure of the original data. The aim of this study is to propose a procedure that applies to the procrustes analysis combined with the correspondence analysis to find a rank of importance to the columns (variables) of a contingency table. That procedure has been applied according to an example by Krzanowski (1993). Some conclusions are presented about the behavior of the procedure. |
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Selection of categorical variables using correspondence and procrustes analysisSeleção de variáveis categóricas utilizando análise de correspondência e análise procrustesanálise procrustesanálise de correspondênciaseleção de variáveis1.02.02.00-5 EstatísticaCorrespondence analysis is a technique of multivaried analysis (particularly, a method of factorial analysis to categorical variables) that allows us to obtain a graphic representation through the distribution of the scores from the categories of lines and/or columns in a system of coordinates. Krzanowski (1987) presented a methodology that combines the analysis of principal components with procrustes analysis to determine how much the new subset of variables represents the structure of the original data. The aim of this study is to propose a procedure that applies to the procrustes analysis combined with the correspondence analysis to find a rank of importance to the columns (variables) of a contingency table. That procedure has been applied according to an example by Krzanowski (1993). Some conclusions are presented about the behavior of the procedure.A análise de correspondência é uma técnica da análise multivariada (em particular, um método de análise fatorial para variáveis categóricas) que permite obter uma representação gráfica através da distribuição dos scores das categorias de linhas e/ou colunas em um sistema de coordenadas. Krzanowski (1987) apresentou uma metodologia que combina a análise de componentes principais e a análise procrustes para determinar o quanto o novo subconjunto de variáveis representa a estrutura dos dados originais Esse trabalho tem como objetivo propor um procedimento que aplica a análise procrustes combinada com a análise de correspondência para encontrar um ranking de importância para as colunas (atributos) de uma tabela de contingência. Esse procedimento foi aplicado num exemplo de Krzanowski(1993) e algumas conclusões quanto ao comportamento do procedimento são apresentadas.Universidade Estadual De Maringá2008-05-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/308410.4025/actascitechnol.v21i0.3084Acta Scientiarum. Technology; Vol 21 (1999); 861-868Acta Scientiarum. Technology; v. 21 (1999); 861-8681806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMporhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/3084/2367Guedes, Terezinha AparecidaIvanqui, Ivan LudgeroMartins, Ana Beatriz TozzoCochia, Etelvina Barretos Rodriguesinfo:eu-repo/semantics/openAccess2024-05-17T13:02:54Zoai:periodicos.uem.br/ojs:article/3084Revistahttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/indexPUBhttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2024-05-17T13:02:54Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Selection of categorical variables using correspondence and procrustes analysis Seleção de variáveis categóricas utilizando análise de correspondência e análise procrustes |
title |
Selection of categorical variables using correspondence and procrustes analysis |
spellingShingle |
Selection of categorical variables using correspondence and procrustes analysis Guedes, Terezinha Aparecida análise procrustes análise de correspondência seleção de variáveis 1.02.02.00-5 Estatística |
title_short |
Selection of categorical variables using correspondence and procrustes analysis |
title_full |
Selection of categorical variables using correspondence and procrustes analysis |
title_fullStr |
Selection of categorical variables using correspondence and procrustes analysis |
title_full_unstemmed |
Selection of categorical variables using correspondence and procrustes analysis |
title_sort |
Selection of categorical variables using correspondence and procrustes analysis |
author |
Guedes, Terezinha Aparecida |
author_facet |
Guedes, Terezinha Aparecida Ivanqui, Ivan Ludgero Martins, Ana Beatriz Tozzo Cochia, Etelvina Barretos Rodrigues |
author_role |
author |
author2 |
Ivanqui, Ivan Ludgero Martins, Ana Beatriz Tozzo Cochia, Etelvina Barretos Rodrigues |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Guedes, Terezinha Aparecida Ivanqui, Ivan Ludgero Martins, Ana Beatriz Tozzo Cochia, Etelvina Barretos Rodrigues |
dc.subject.por.fl_str_mv |
análise procrustes análise de correspondência seleção de variáveis 1.02.02.00-5 Estatística |
topic |
análise procrustes análise de correspondência seleção de variáveis 1.02.02.00-5 Estatística |
description |
Correspondence analysis is a technique of multivaried analysis (particularly, a method of factorial analysis to categorical variables) that allows us to obtain a graphic representation through the distribution of the scores from the categories of lines and/or columns in a system of coordinates. Krzanowski (1987) presented a methodology that combines the analysis of principal components with procrustes analysis to determine how much the new subset of variables represents the structure of the original data. The aim of this study is to propose a procedure that applies to the procrustes analysis combined with the correspondence analysis to find a rank of importance to the columns (variables) of a contingency table. That procedure has been applied according to an example by Krzanowski (1993). Some conclusions are presented about the behavior of the procedure. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-05-14 |
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/3084 10.4025/actascitechnol.v21i0.3084 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/3084 |
identifier_str_mv |
10.4025/actascitechnol.v21i0.3084 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/3084/2367 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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 21 (1999); 861-868 Acta Scientiarum. Technology; v. 21 (1999); 861-868 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_ |
1799315332628742144 |