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

Hijazi, R.
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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 ​
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