Singh et al. (1986) 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) called modified Jackknifed ridge theoretically as well as numerically.