Linear regression with compositional explanatory variables
Compositional explanatory variables should not be directly used in a linear regression model because any inference statistic can become misleading. While various approaches for this problem were proposed, here an approach based on the isometric logratio (ilr) transformation is used. It turns out that the resulting model is easy to handle, and that parameter estimation can be done in like in usual linear regression. Moreover, it is possible to use the ilr variables for inference statistics in order to obtain an appropriate interpretation of the model.
Year of publication: |
2012
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Authors: | Hron, K. ; Filzmoser, P. ; Thompson, K. |
Published in: |
Journal of Applied Statistics. - Taylor & Francis Journals, ISSN 0266-4763. - Vol. 39.2012, 5, p. 1115-1128
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Publisher: |
Taylor & Francis Journals |
Saved in:
Online Resource
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