Results 11 to 20 of about 4,819,578 (314)

Modified One-Parameter Liu Estimator for the Linear Regression Model

Modelling and Simulation in Engineering, 2020
Motivated by the ridge regression (Hoerl and Kennard, 1970) and Liu (1993) estimators, this paper proposes a modified Liu estimator to solve the multicollinearity problem for the linear regression model.
Adewale F. Lukman, B. M. Golam Kibria, Kayode Ayinde, Segun L. Jegede   +3 more
doaj   +2 more sources

A New Biased Estimation Class to Combat the Multicollinearity in Regression Models: Modified Two--Parameter Liu Estimator

Computational Journal of Mathematical and Statistical Sciences
The multicollinearity problem occurrence of the explanatory variables affects the least-squares (LS) estimator seriously in the regression models. The multicollinearity adverse effects on the LS estimation are also investigated by many authors.
Mohamed Reda Abonazel
doaj   +2 more sources

Improved Liu Estimator for the Beta Regression Model: Methods, Simulation and Applications [PDF]

Operations Research and Decisions
The beta regression model (BRM) is a well-known approach to modeling a response variable that has a beta distribution. The maximum likelihood estimator (MLE) does not produce accurate results for the BRM when there is a high degree of multicollinearity ...
Nimra Ilyas, Muhammad Amin, Muhammad Nauman Akram, Syeda Maryam Siddiqa   +3 more
doaj   +2 more sources

Modified Two-Parameter Liu Estimator for Addressing Multicollinearity in the Poisson Regression Model

Axioms
This study introduces a new two-parameter Liu estimator (PMTPLE) for addressing the multicollinearity problem in the Poisson regression model (PRM). The estimation of the PRM is traditionally accomplished through the Poisson maximum likelihood estimator (
Mahmoud M. Abdelwahab, Mohamed R. Abonazel, Ali T. Hammad, Amera M. El-Masry   +3 more
doaj   +2 more sources

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   +2 more sources

Modified Liu estimator to address the multicollinearity problem in regression models: A new biased estimation class

Scientific African, 2022
The multicollinearity problem occurrence of the explanatory variables affects the least-squares (LS) estimator seriously in the regression models. The multicollinearity adverse effects on the LS estimation are also investigated by lots of authors.
Issam Dawoud, Mohamed R. Abonazel, Fuad A. Awwad   +2 more
doaj   +2 more sources

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

Comput Intell Neurosci, 2022
For a variety of well-known approaches, optimum predictors and estimators are determined in relation to the asymmetrical LINEX loss function. The applications of an iteratively practicable lowest mean squared error estimation of the regression ...
Mohammed MA, Alshanbari HM, El-Bagoury AH.   +2 more
europepmc   +2 more sources

Robust Liu Estimator Used to Combat Some Challenges in Partially Linear Regression Model by Improving LTS Algorithm Using Semidefinite Programming

Mathematics
Outliers are a common problem in applied statistics, together with multicollinearity. In this paper, robust Liu estimators are introduced into a partially linear model to combat the presence of multicollinearity and outlier challenges when the error ...
Waleed B. Altukhaes, Mahdi Roozbeh, Nur A. Mohamed   +2 more
doaj   +2 more sources

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

Comput Intell Neurosci, 2021
There is a long history of interest in modeling Poisson regression in different fields of study. The focus of this work is on handling the issues that occur after modeling the count data.
Khan A, Amanullah M, Amin M, Alharbi R, Muse AH, Muse AH, Mohamed MS.   +6 more
europepmc   +2 more sources

Feasible robust Liu estimator to combat outliers and multicollinearity effects in restricted semiparametric regression mode

AIMS Mathematics
Regression analysis frequently encounters two issues: multicollinearity among the explanatory variables, and the existence of outliers in the data set.
W. B. Altukhaes, M. Roozbeh, N. A. Mohamed   +2 more
doaj   +2 more sources