Item


Compositional Random Data: a Routine for CoDaPack

Generation of random variables are needed in the simulations of many natural process. For some random variables, different methodologies are known, specially into euclidean spaces. In this paper a routine for dealing with random variables into a simplex space with the Aitchison geometry is presented. The routine has been implemented for the CoDaPack, a freeware software developed to be used for users with minimum programming skills

Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada

Other contributions: Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada
Author: Comas Cufí, Marc
Mateu i Figueras, Glòria
Thió i Fernández de Henestrosa, Santiago
Date: 2018 June 5
Abstract: Generation of random variables are needed in the simulations of many natural process. For some random variables, different methodologies are known, specially into euclidean spaces. In this paper a routine for dealing with random variables into a simplex space with the Aitchison geometry is presented. The routine has been implemented for the CoDaPack, a freeware software developed to be used for users with minimum programming skills
Document access: http://hdl.handle.net/2072/319415
Language: eng
Publisher: Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada
Rights: Tots els drets reservats
Subject: Estadística matemàtica -- Congressos
Mathematical statistics -- Congresses
Anàlisi multivariable -- Congressos
Multivariate analysis -- Congresses
Title: Compositional Random Data: a Routine for CoDaPack
Type: info:eu-repo/semantics/conferenceObject
Repository: Recercat

Subjects

Authors