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An EM-Algorithm Based Method to Deal with Rounded Zeros in Compositional Data under Dirichlet Models

Zeros in compositional data are classified into “rounded” zeros and “essential” zeros. The rounded zero corresponds to a small proportion or below detection limit value while the essential zero is an indication of the complete absence of the component in the composition. Several parametric and non-parametric imputation techniques have been proposed to replace rounded zeros and model the essential zeros under logratio model. In this paper, a new method based on EM algorithm is proposed for replacing rounded zeros. The proposed method is illustrated using simulated data

Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada

Other contributions: Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada
Author: Hijazi, R.
Abstract: Zeros in compositional data are classified into “rounded” zeros and “essential” zeros. The rounded zero corresponds to a small proportion or below detection limit value while the essential zero is an indication of the complete absence of the component in the composition. Several parametric and non-parametric imputation techniques have been proposed to replace rounded zeros and model the essential zeros under logratio model. In this paper, a new method based on EM algorithm is proposed for replacing rounded zeros. The proposed method is illustrated using simulated data
Document access: http://hdl.handle.net/2072/299067
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
Mathematical statistics -- Congresses
Title: An EM-Algorithm Based Method to Deal with Rounded Zeros in Compositional Data under Dirichlet Models
Type: info:eu-repo/semantics/conferenceObject
Repository: Recercat

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