23
Views
3
CrossRef citations to date
0
Altmetric
Original Articles

A monte carlo comparison of some ridge and other biased estimators

Pages 195-215 | Received 03 Nov 1970, Published online: 20 Mar 2007
 

Abstract

A comparative study of the performance of 8 ridge estimators, 5 other biased estimators, and the Ordinary Least Squares estimate is made through a Monte Carlo experiment. The control parameters used in the simulation study are:(1)A measure of the degree of multicollinearity in X,(2)The number of independent variables,(3)The variance of the error term(for unit length parameter vector β), and(4)The most favorable and the least favorable choices of β(as defined by McDonald and Galarneau). 100 replications are run on each combination of a 6Z×3×5×2 factorial design, using sample sizes of n=100. The empirical mean squared error as well as some other properties of the sampling distributions of the squared loss are reported for the estimators considered.

†Amitava Mitra is Assistant Professor, University of Southern California-Eastern Region, Systems Management Department, 5510 Columbia Pike, Arlington, Va. 22204. Robert F. Ling is Professor, Department of Mathematical Sciences, Clemson University, Clemson, S.C. 29631. Research was supported in part by the Office of Naval Research under Contract N00014-75-C-0451

†Amitava Mitra is Assistant Professor, University of Southern California-Eastern Region, Systems Management Department, 5510 Columbia Pike, Arlington, Va. 22204. Robert F. Ling is Professor, Department of Mathematical Sciences, Clemson University, Clemson, S.C. 29631. Research was supported in part by the Office of Naval Research under Contract N00014-75-C-0451

Notes

†Amitava Mitra is Assistant Professor, University of Southern California-Eastern Region, Systems Management Department, 5510 Columbia Pike, Arlington, Va. 22204. Robert F. Ling is Professor, Department of Mathematical Sciences, Clemson University, Clemson, S.C. 29631. Research was supported in part by the Office of Naval Research under Contract N00014-75-C-0451

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.