Jackknifing the Ridge Regression Estimator: A Revisit |
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Authors: | Mansi Khurana Shalini Chandra |
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Affiliation: | 1. Department of Mathematics and Statistics, Banasthali University, Rajasthan, India;2. Indian Statistical Institute, North East Campus, Assam, India |
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Abstract: | Singh et al. (1986 Singh, B., Chaubey, Y.P., Dwivedi, T.D. (1986). An almost unbiased ridge estimator. Sankhya B48: 34236. [Google Scholar]) proposed an almost unbiased ridge estimator using Jackknife method that required transformation of the regression parameters. This article shows that the same method can be used to derive the Jackknifed ridge estimator of the original (untransformed) parameter without transformation. This method also leads in deriving easily the second-order Jackknifed ridge that may reduce the bias further. We further investigate the performance of these estimators along with a recent method by Batah et al. (2008 Batah, F. S.M., Ramanathan, T.V., Gore, S.D. (2008). The efficiency of modified Jack-knife and ridge type regression estimators: a comparison. Surv. Math. Applic. 3:111122. [Google Scholar]) called modified Jackknifed ridge theoretically as well as numerically. |
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Keywords: | Multicollinearity Ridge regression Jackknife technique |
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