This book proposes the various types of new Ridge regression
estimators to deal with the problem of multicollinearity in
multiple linear regression analysis.An Ordinary ridge regression
estimators and an orthonormal( ridge regression estimators have
been derived by selecting the values for ridge parameter based on
studentized residuals.A partitioned linear regression model has
been specified and the ridge regression estimator has been
developed by using Internally studentized residual sum of
squares.besides these, an Adaptive General Ridge regression
estimator's and a new combined restricted ridge regression
estimators have been proposed along with iterative procedures for
the solutions of elements of ridge parameters matrix.
General
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