This paper considers several estimators for estimating the stochastic restricted ridge regression estimators. A simulation study has been conducted to compare the performance of the estimators. The result from the simulation study shows that stochastic restricted ridge regression estimators outperform mixed estimator. A numerical example has been also given to illustrate the performance of the estimators
The density function of the stochastic shrinkage parameters of the operational Liu type estimator is...
The focus of this study is evaluate the asymptotic properties of ridge regression using a Monte Carl...
The analysis of misspecification was extended to the recently introduced stochastic restricted biase...
Groß [J. Groß, Restricted ridge estimation, Statistics & Probability Letters 65 (2003) 57-64] propos...
Many researchers have studied restricted estimation in the context of exact and stochastic restricti...
This article is concerned with the predictions in linear mixed models under stochastic linear restri...
In this article, we introduce a ridge estimator for the vector of parameters in a semiparametric mod...
A common problem in multiple regression analysis is having to engage in a bias variance trade-off in...
AbstractRidge regression estimator has been introduced as an alternative to the ordinary least squar...
It is known that collinearity among the explanatory variables in generalized linear models (GLMs) in...
When independent variables have high linear correlation in a multiple linear regression model, we ca...
This article is concerned with the problem of multicollinearity in the linear part of a seemingly un...
Several alternative methods for derivation of the restricted ridge regression estimator (RRRE) are p...
We introduce the weighted mixed almost unbiased ridge estimator (WMAURE) based on the weighted mixed...
In this paper we have reviewed some existing and proposed some new estimators for estimating the rid...
The density function of the stochastic shrinkage parameters of the operational Liu type estimator is...
The focus of this study is evaluate the asymptotic properties of ridge regression using a Monte Carl...
The analysis of misspecification was extended to the recently introduced stochastic restricted biase...
Groß [J. Groß, Restricted ridge estimation, Statistics & Probability Letters 65 (2003) 57-64] propos...
Many researchers have studied restricted estimation in the context of exact and stochastic restricti...
This article is concerned with the predictions in linear mixed models under stochastic linear restri...
In this article, we introduce a ridge estimator for the vector of parameters in a semiparametric mod...
A common problem in multiple regression analysis is having to engage in a bias variance trade-off in...
AbstractRidge regression estimator has been introduced as an alternative to the ordinary least squar...
It is known that collinearity among the explanatory variables in generalized linear models (GLMs) in...
When independent variables have high linear correlation in a multiple linear regression model, we ca...
This article is concerned with the problem of multicollinearity in the linear part of a seemingly un...
Several alternative methods for derivation of the restricted ridge regression estimator (RRRE) are p...
We introduce the weighted mixed almost unbiased ridge estimator (WMAURE) based on the weighted mixed...
In this paper we have reviewed some existing and proposed some new estimators for estimating the rid...
The density function of the stochastic shrinkage parameters of the operational Liu type estimator is...
The focus of this study is evaluate the asymptotic properties of ridge regression using a Monte Carl...
The analysis of misspecification was extended to the recently introduced stochastic restricted biase...