The problem of estimation of the regression coefficients in a multiple regression model is considered under a multicollinearity situation when it is suspected that the regression coefficients may be restricted to a subspace. The objective of this paper is to compare the usual preliminary test estimator and the preliminary test ridge regression estimator in the sense of the dispersion matrix of one dominating that of the other. In particular we proved two results giving necessary and sufficient conditions for the superiority of the preliminary test ridge regression estimator over the preliminary test estimator associated with the ? = 0 (or ? = 0) and ? ? 0 (or ? ? 0). Copyright © 2002 by Marcel Dekker, Inc
The presence of the multicollinearity problem in the predictor data causes the variance of the ordin...
Since the seminal work of Hoerl and Kennard (1970a), ridge regression has proven to be a useful tech...
The problem of estimation of the regression coefficients under multicollinearity situation for the r...
The ridge regression-type (Hoerl and Kennard, 1970) and Liu-type (Liu, 1993) estimators are consiste...
Includes bibliographical references (pages 51-53)In the standard regression technique, ordinary leas...
During the past years, different kinds of estimators have been proposed as alternatives to the Ordin...
A common problem in multiple regression analysis is having to engage in a bias variance trade-off in...
Least square estimators in multiple linear regressions under multicollinearity become unstable as th...
The inefficiency of the ordinary least square estimator for the parameter estimation of a linear reg...
The focus of this study is evaluate the asymptotic properties of ridge regression using a Monte Carl...
AbstractRidge regression estimator has been introduced as an alternative to the ordinary least squar...
A multivariate linear regression model with q responses as a linear function ofpindependent variable...
In this paper we have reviewed some existing and proposed some new estimators for estimating the rid...
This article is concerned with the problem of multicollinearity in the linear part of a seemingly un...
The Linear regression model is one of the most widely used models in differentfields of study. The m...
The presence of the multicollinearity problem in the predictor data causes the variance of the ordin...
Since the seminal work of Hoerl and Kennard (1970a), ridge regression has proven to be a useful tech...
The problem of estimation of the regression coefficients under multicollinearity situation for the r...
The ridge regression-type (Hoerl and Kennard, 1970) and Liu-type (Liu, 1993) estimators are consiste...
Includes bibliographical references (pages 51-53)In the standard regression technique, ordinary leas...
During the past years, different kinds of estimators have been proposed as alternatives to the Ordin...
A common problem in multiple regression analysis is having to engage in a bias variance trade-off in...
Least square estimators in multiple linear regressions under multicollinearity become unstable as th...
The inefficiency of the ordinary least square estimator for the parameter estimation of a linear reg...
The focus of this study is evaluate the asymptotic properties of ridge regression using a Monte Carl...
AbstractRidge regression estimator has been introduced as an alternative to the ordinary least squar...
A multivariate linear regression model with q responses as a linear function ofpindependent variable...
In this paper we have reviewed some existing and proposed some new estimators for estimating the rid...
This article is concerned with the problem of multicollinearity in the linear part of a seemingly un...
The Linear regression model is one of the most widely used models in differentfields of study. The m...
The presence of the multicollinearity problem in the predictor data causes the variance of the ordin...
Since the seminal work of Hoerl and Kennard (1970a), ridge regression has proven to be a useful tech...
The problem of estimation of the regression coefficients under multicollinearity situation for the r...