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Original Articles

Confidence Interval for Shrinkage Parameters in Ridge Regression

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Pages 3489-3497 | Received 14 Aug 2008, Accepted 28 Oct 2008, Published online: 16 Sep 2009
 

Abstract

In ridge regression, the estimation of ridge parameter k is an important problem. There are several methods available in the literature to do this job some what efficiently. However, no attempts were made to suggest a confidence interval for the ridge parameter using the knwoledge from the data. In this article, we propose a data dependent confidence interval for the ridge parameter k. The method of obtaining the confidence interval is illustrated with the help of a data set. A simulation study indicates that the empirical coverage probability of the suggested confidence intervals are quite high.

Mathematics Subject Classification:

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