Abstract
IF WE HAVE multivariate observations from two or more identified populations, how can we characterize them? Is there a combination of measurements that can be used to clearly distinguish between these groups? It is not good enough to simply say that the mean of one variable is statistically higher in one group in order to solve this problem because the histograms of the groups may have considerable overlap making the discriminatory process only a little better than guesswork. To think in multivariate terms, we do not use only one variable at a time to distinguish between groups of individuals, but, rather, we use a combination of explanatory variables.
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Zelterman, D. (2015). Discrimination and Classification. In: Applied Multivariate Statistics with R. Statistics for Biology and Health. Springer, Cham. https://doi.org/10.1007/978-3-319-14093-3_10
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DOI: https://doi.org/10.1007/978-3-319-14093-3_10
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