Ridge Estimation for the Linear Regression Model

摘要

A class of estimators, variously known as ridge estimators, is considered for the linear regression model Y=X theta + epsilon, where theta is an unknown parameter vector to be estimated. Some properties of the ridge estimators are given. It is shown that certain ridge estimators have uniformly smaller mean squared error than the least squares estimator. (Author)