JOURNAL ARTICLE

Ridge Regression – A Simulation Study

Allan E. ClarkC. G. Troskie

Year: 2006 Journal:   Communications in Statistics - Simulation and Computation Vol: 35 (3)Pages: 605-619   Publisher: Taylor & Francis

Abstract

In this article we assess the suitability of two new ridge estimators by means of a simulation study. We compare these estimators with well-known ridge estimators. We also make direct comparisons between the ordinary least squares (OLS) estimator and the ridge estimators by using ratio of the average total mean square error of the OLS estimator and the ridge estimators. We find that the new estimators perform well under certain conditions.

Keywords:
Estimator Ridge Ordinary least squares Mean squared error Statistics Extremum estimator Mathematics Regression M-estimator Geology

Metrics

23
Cited By
0.55
FWCI (Field Weighted Citation Impact)
14
Refs
0.67
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Statistical Methods and Models
Physical Sciences →  Mathematics →  Statistics and Probability
Statistical and numerical algorithms
Physical Sciences →  Mathematics →  Applied Mathematics
Control Systems and Identification
Physical Sciences →  Engineering →  Control and Systems Engineering

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