Regression analysis with compositional data containing zero values

Michail Tsagris

MPRA Paper from University Library of Munich, Germany

Abstract: Regression analysis, for prediction purposes, with compositional data is the subject of this paper. We examine both cases when compositional data are either response or predictor variables. A parametric model is assumed but the interest lies in the accuracy of the predicted values. For this reason, a data based power transformation is employed in both cases and the results are compared with the standard log-ratio approach. There are some interesting results and one advantage of the methods proposed here is the handling of the zero values.

Keywords: Compositional data; regression; prediction; α-transformation; principal component regression (search for similar items in EconPapers)
JEL-codes: C18 (search for similar items in EconPapers)
Date: 2015-09-08
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Citations: View citations in EconPapers (2)

Published in Chilean Journal of Statistics 2.6(2015): pp. 47-57

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