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Principal components in the discrimination of outliers: A study in simulation sample data corrected by Pearson's and Yates´s chisquare distance
Current study employs Monte Carlo simulation in the building of a significance test to indicate the principal components that best discriminate against outliers. Different sample sizes were generated by multivariate normal distribution with different numbers of variables and correlation structures....
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| Publicado no: | Acta Scientiarum. Technology |
|---|---|
| Principais autores: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Universidade Estadual de Maringá
2016
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| Assuntos: | |
| Acesso em linha: | https://www.redalyc.org/articulo.oa?id=303245370008 https://www.redalyc.org/journal/3032/303245370008/ https://www.redalyc.org/journal/3032/303245370008/html/ https://www.redalyc.org/journal/3032/303245370008/303245370008.epub https://www.redalyc.org/journal/3032/303245370008/movil |
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