Results 61 to 70 of about 163,142 (181)

Difference based Ridge and Liu type Estimators in Semiparametric Regression Models [PDF]

We consider a difference based ridge regression estimator and a Liu type estimator of the regression parameters in the partial linear semiparametric regression model, y = Xβ + f + ε.
Esra Akdeniz Duran, Maria Osipenko, Wolfgang Karl Härdle   +2 more
core  

New Liu Estimators for the Poisson Regression Model: Method and Application [PDF]

A new shrinkage estimator for the Poisson model is introduced in this paper. This method is a generalization of the Liu (1993) estimator originally developed for the linear regression model and will be generalised here to be used instead of the classical
Kibria, B. M. Golam, Månsson, Kristofer, Shukur, Ghazi, Sjölander, Pär   +3 more
core   +1 more source

A New Biased Estimator to Combat the Multicollinearity of the Gaussian Linear Regression Model

Stats, 2020
In a multiple linear regression model, the ordinary least squares estimator is inefficient when the multicollinearity problem exists. Many authors have proposed different estimators to overcome the multicollinearity problem for linear regression models ...
Issam Dawoud, B. M. Golam Kibria
doaj   +1 more source

Estimation under Multicollinearity: Application of Restricted Liu and Maximum Entropy Estimators to the Portland Cement Dataset [PDF]

A high degree of multicollinearity among the explanatory variables severely impairs estimation of regression coefficients by the Ordinary Least Squares. Several methods have been suggested to ameliorate the deleterious effects of multicollinearity.
Mishra, SK
core   +1 more source

Developing a new modified two–parameter Liu estimator for the gamma regression model: Method, simulation and application to health data

Alexandria Engineering Journal
The gamma regression model is one of the types of generalized linear models intended to work at the observation level and be able to handle the dependent variable, which is continuous, positive, and can often be skewed.
Muqrin A. Almuqrin, Mohammed AbaOud
doaj   +1 more source

Application of the LINEX Loss Function with a Fundamental Derivation of Liu Estimator. [PDF]

Comput Intell Neurosci, 2022
Mohammed MA, Alshanbari HM, El-Bagoury AH.   +2 more
europepmc   +1 more source

Influence Diagnostic Methods in the Poisson Regression Model with the Liu Estimator. [PDF]

Comput Intell Neurosci, 2021
Khan A, Amanullah M, Amin M, Alharbi R, Muse AH, Muse AH, Mohamed MS.   +6 more
europepmc   +1 more source

Modified Liu Parameters for Scaling Options of the Multiple Regression Model with Multicollinearity Problem

Mathematics
The multiple regression model statistical technique is employed to analyze the relationship between the dependent variable and several independent variables.
Autcha Araveeporn
doaj   +1 more source

Efficiency comparisons for a system GMM estimator in dynamic panel data models [PDF]

The system GMM estimator in dynamic panel data models combines moment conditions for hte differenced equation with moment conditions for the model in levels.
Frank Windmeijer
core  

Modifying Two-Parameter Ridge Liu Estimator Based on Ridge Estimation

Pakistan Journal of Statistics and Operation Research, 2019
In this paper, we introduce the new biased estimator to deal with the problem of multicollinearity. This estimator is considered a modification of Two-Parameter Ridge-Liu estimator based on ridge estimation. Furthermore, the superiority of the new estimator than Ridge, Liu and Two-Parameter Ridge-Liu estimator were discussed.
openaire   +2 more sources