ROBUST METHODS APPLIED TO ENERGY‐CONSUMPTION DATA
- 1 October 1985
- journal article
- Published by Wiley in Decision Sciences
- Vol. 16 (4) , 343-356
- https://doi.org/10.1111/j.1540-5915.1985.tb01487.x
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.Keywords
This publication has 11 references indexed in Scilit:
- The regression dilemmaCommunications in Statistics - Theory and Methods, 1983
- Regression DiagnosticsPublished by Wiley ,1980
- Statistical Robustness: One View of Its Use in Applications TodayThe American Statistician, 1979
- Detection of Influential Observation in Linear RegressionTechnometrics, 1977
- Detection of Influential Observation in Linear RegressionTechnometrics, 1977
- Tables for An Approximate Test for Outliers in Linear ModelsTechnometrics, 1975
- Tables for An Approximate Test for Outliers in Linear ModelsTechnometrics, 1975
- A Robust Method for Multiple Linear RegressionTechnometrics, 1974
- A Robust Method for Multiple Linear RegressionTechnometrics, 1974
- The 1972 Wald Lecture Robust Statistics: A ReviewThe Annals of Mathematical Statistics, 1972