ROBUST METHODS APPLIED TO ENERGY‐CONSUMPTION DATA

Abstract
In many instances a model is based on nonexperimental data and is used for prediction. In this situation, using both the least‐squares and the robust methods simultaneously can result in models with improved predictive performance.

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