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An iterative method is given for selecting the biasing parameter, k, in RIDGE regression. The method produces a distribution of squared errors for the regression coefficients that has a smaller mean and a smaller variance than least squares or the single iteration estimate.
Hoerl et al. (Thu,) studied this question.
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