alr approach for replacing values below the detection limit

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alr approach for replacing values below the detection limit

Palarea Albaladejo, Javier; Martín Fernández, Josep Antoni; Gómez García, Juan

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URI: http://hdl.handle.net/10256/667
Date: 2005-10

Abstract

All of the imputation techniques usually applied for replacing values below the detection limit in compositional data sets have adverse effects on the variability. In this work we propose a modification of the EM algorithm that is applied using the additive log-ratio transformation. This new strategy is applied to a compositional ...[+]
All of the imputation techniques usually applied for replacing values below the detection limit in compositional data sets have adverse effects on the variability. In this work we propose a modification of the EM algorithm that is applied using the additive log-ratio transformation. This new strategy is applied to a compositional data set and the results are compared with the usual imputation techniques[-]

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