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.
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. |
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 |
Appare nelle tipologie: | 03 - Contributo in libro |