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ROBUST METHODS APPLIED TO ENERGY‐CONSUMPTION DATA
Author(s) -
Janson Marius A.,
Willis Raymond E.
Publication year - 1985
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.1985.tb01487.x
Subject(s) - computer science , consumption (sociology) , least squares function approximation , energy consumption , econometrics , data mining , mathematical optimization , statistics , mathematics , social science , estimator , sociology , ecology , biology
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.