Consider the mean square error criterion for generalized ridge regression. Show that the mean square error is

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Consider the mean square error criterion for generalized ridge regression. Show that the mean square error is minimized by choosing \(k_{j}=\sigma^{2} / \alpha_{j}^{2}, j=1\), \(2, \ldots, p\).

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Introduction To Linear Regression Analysis

ISBN: 9781119578727

6th Edition

Authors: Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining

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