Using an approach based on the Aitchison geometry of the simplex, a Shifted-Dirichlet covariate model is obtained. Allowing the parameters to change linearly with a set of covariates, their effects on the relative contributions of different components in a composition are assessed. An application of this model to sedimentary petrography is given.
Monti, G., Mateu Figueras, G., Pawlowsky, G., & JJ Egozcue, V. (2016). A Regression Model for Compositional Data Based on the Shifted-Dirichlet Distribution. In J.A. Martín-Fernández, & S. Thió-Henestrosa (a cura di), Compositional Data Analysis, Springer Proceedings in Mathematics & Statistics 187 (pp. 127-143). Springer New York LLC [10.1007/978-3-319-44811-4_9].
Citazione: | Monti, G., Mateu Figueras, G., Pawlowsky, G., & JJ Egozcue, V. (2016). A Regression Model for Compositional Data Based on the Shifted-Dirichlet Distribution. In J.A. Martín-Fernández, & S. Thió-Henestrosa (a cura di), Compositional Data Analysis, Springer Proceedings in Mathematics & Statistics 187 (pp. 127-143). Springer New York LLC [10.1007/978-3-319-44811-4_9]. | |
Titolo: | A Regression Model for Compositional Data Based on the Shifted-Dirichlet Distribution | |
Autori: | Monti, G; Mateu Figueras, G; Pawlowsky, G; JJ Egozcue, V | |
Autori: | ||
Presenza di un coautore afferente ad Istituzioni straniere: | Si | |
Tipo: | Capitolo o saggio | |
Carattere della pubblicazione: | Scientifica | |
Data di pubblicazione: | 2016 | |
Lingua: | English | |
Titolo del libro: | Compositional Data Analysis, Springer Proceedings in Mathematics & Statistics 187 | |
ISBN: | 9783319448107 | |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1007/978-3-319-44811-4_9 | |
Appare nelle tipologie: | 03 - Contributo in libro |