A Comparative study on the performance of new ridge estimators

Bhat, Satish S. and Vidya, R. (2016) A Comparative study on the performance of new ridge estimators. Pakistan Journal of Statistics and Operation Research, 12 (2). pp. 317-325. ISSN 2220-5810

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Official URL: http://dx.doi.org/10.18187/pjsor.v12i2.1188

Abstract

Least square estimators in multiple linear regressions under multicollinearity become unstable as they produce large variance for the estimated regression coefficients. Hoerl and Kennard 1970, developed ridge estimators for cases of high degree of collinearity. In ridge estimation, the estimation of ridge parameter (k ) is vital. In this article new methods for estimating ridge parameter are introduced. The performance of the proposed estimators is investigated through mean square errors (MSE). Monte-Carlo simulation technique indicated that the proposed estimators perform better than ordinary least squares (OLS) estimators as well as few other ridge estimators.

Item Type: Article
Subjects: E Mathematical Science > Statistics
Divisions: Yuvaraj college > Statistics
Depositing User: Manjula P Library Assistant
Date Deposited: 17 Jun 2019 05:25
Last Modified: 05 Jul 2022 06:00
URI: http://eprints.uni-mysore.ac.in/id/eprint/3112

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