DUGiDocsAportacions de l'anàlisi composicional a les mixtures de distribucions
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The present thesis is a compendium of three original works produced between
2014 and 2018. The papers have a common link: they are different
contributions made by compositional data analysis to the study of the models
based on mixtures of probability distributions. In brief, we could say that
compositional data analysis is a methodology that consists of studying a
sample of measures that are strictly positive from a relative point of view.
Mixtures of distributions are a specific type of probability distribution
defined to be the convex linear combination of other distributions
L'accés als continguts d'aquesta tesi queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by/4.0/