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Compositional methods for estimating elemental concentrations below the limit of detection in practice using R

Geochemical studies typically generate data sets including labels for values below certain limits of detection of the analytical techniques involved. These unobserved values hamper subsequent data analysis, and a number of procedures with different levels of sophistication have been introduced in order to deal with them. Unfortunately, those most commonly used in practice are those most prone to introduce bias and lead to poor estimates of the statistics of interest. We approach this topic in the context of geochemical compositional data, that is, data representing parts of a whole. Although the general statistical literature has provided well-based methods for censored data, which includes the case of nondetects, they have ignored the special nature of compositional samples. In this paper we review a number of methods introduced in the recent years to deal with values below the detection limit while meeting compositional principles. We provide guidance and computer routines to easily apply them in practice using the popular R statistical computing language. © 2013 Elsevier B.V.

This research has been supported by the Scottish Government Rural and Environment Science and Analytical Services (RESAS) and the project "METRICS" (Ref. MTM2012-33236), Spanish Ministry of Economy and Competitiveness

© Journal of Geochemical Exploration, 2014, vol. 141, p. 71-77

Elsevier

Author: Palarea Albaladejo, Javier
Martín Fernández, Josep Antoni
Buccianti, Antonella
Date: 2014 June
Abstract: Geochemical studies typically generate data sets including labels for values below certain limits of detection of the analytical techniques involved. These unobserved values hamper subsequent data analysis, and a number of procedures with different levels of sophistication have been introduced in order to deal with them. Unfortunately, those most commonly used in practice are those most prone to introduce bias and lead to poor estimates of the statistics of interest. We approach this topic in the context of geochemical compositional data, that is, data representing parts of a whole. Although the general statistical literature has provided well-based methods for censored data, which includes the case of nondetects, they have ignored the special nature of compositional samples. In this paper we review a number of methods introduced in the recent years to deal with values below the detection limit while meeting compositional principles. We provide guidance and computer routines to easily apply them in practice using the popular R statistical computing language. © 2013 Elsevier B.V.
This research has been supported by the Scottish Government Rural and Environment Science and Analytical Services (RESAS) and the project "METRICS" (Ref. MTM2012-33236), Spanish Ministry of Economy and Competitiveness
Format: application/pdf
ISSN: 0375-6742
Document access: http://hdl.handle.net/10256/10930
Language: eng
Publisher: Elsevier
Collection: MINECO/PN 2013-2015/MTM2012-33236
Reproducció digital del document publicat a: http://dx.doi.org/10.1016/j.gexplo.2013.09.003
Articles publicats (D-IMA)
Is part of: © Journal of Geochemical Exploration, 2014, vol. 141, p. 71-77
Rights: Tots els drets reservats
Subject: Anàlisi multivariable
Multivariate analysis
Estadística matemàtica
Mathematical statistics
Estimació, Teoria de l’
Estimation theory
Geoquímica -- Mètodes estadístics
Geochemistry -- Statistical methods
Title: Compositional methods for estimating elemental concentrations below the limit of detection in practice using R
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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