<b>Principal components in the discrimination of outliers: A study in simulation sample data corrected by Pearson's and Yates´s chi-square 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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| Format: | Article |
| Language: | English |
| Published: |
Universidade Estadual de Maringá
2016-04-01
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| Series: | Acta Scientiarum: Technology |
| Subjects: | |
| Online Access: | http://periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/26046 |