Symbolic Regression Analysis
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TL;DR
A regression approach is provided for symbolic histogram-valued data and several possible alternative models using classical techniques are compared, with the symbolic regression approach preferred.
Abstract
Billard and Diday (2000) developed procedures for fitting a regression equation to symbolic interval-valued data. The present paper compares that approach with several possible alternative models using classical techniques; the symbolic regression approach is preferred. Thence, a regression approach is provided for symbolic histogram-valued data. The results are illustrated with a medical data set.