Integral evaluation of indicators in models of parametric and non-parametric analysis of variance. Use of the categorical principal component
In order to establish possible relations among statistical indicators in models of parametric and non-parametric analysis of variance, belonging to completely randomized and random block experimental designs, the categorical principal component analysis was used because they are quantitative and qua...
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| Pubblicato in: | Cuban Journal of Agricultural Science |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Instituto de Ciencia Animal
2016
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| Soggetti: | |
| Accesso online: | https://www.redalyc.org/articulo.oa?id=653768179013 |
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