IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319 1775 Online 2320-7876

AN ADAPTIVE GENERAL COMBINED RESTRICTED RIDGE REGRESSION ESTIMATOR FOR LINEAR REGRESSION MODEL UNDER MULTICOLLINEARITY

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Dr.Bandi Ramanjineyulu

Abstract

The introduction by Hoerl and Kennard (1970) of a ridge regression estimator to deal with the problem of multicollinearity in regression analysis has been followed by a number of research articles in the statistics literature. The defined a class of estimators characterized by a scalar called Ridge parameter. By reducing the linear regression model to its canonical form, they proposed the general Ridge regression estimator.

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