Results 41 to 50 of about 25,397 (329)

The Comparison Between Different Approaches to Overcome the Multicollinearity Problem in Linear Regression Models

open access: yesIbn Al-Haitham Journal for Pure and Applied Sciences, 2018
    In the presence of multi-collinearity problem, the parameter estimation method based on the ordinary least squares procedure is unsatisfactory. In 1970, Hoerl and Kennard insert analternative method labeled as estimator of ridge regression.
Hazim Mansoor Gorgees   +1 more
doaj   +1 more source

M Robust Weighted Ridge Estimator in Linear Regression Model

open access: yesAfrican Scientific Reports, 2023
Correlated regressors are a major threat to the performance of the conventional ordinary least squares (OLS) estimator. The ridge estimator provides more stable estimates in this circumstance.
Taiwo Stephen Fayose   +2 more
doaj   +1 more source

A lava attack on the recovery of sums of dense and sparse signals [PDF]

open access: yes, 2015
Common high-dimensional methods for prediction rely on having either a sparse signal model, a model in which most parameters are zero and there are a small number of non-zero parameters that are large in magnitude, or a dense signal model, a model with ...
Chernozhukov, Victor   +2 more
core   +3 more sources

Feasible Generalized Stein-Rule Restricted Ridge Regression Estimators [PDF]

open access: yesJournal of Applied Mathematics, Statistics and Informatics, 2017
AbstractSeveral versions of the Stein-rule estimators of the coefficient vector in a linear regression model are proposed in the literature. In the present paper, we propose new feasible generalized Stein-rule restricted ridge regression estimators to examine multicollinearity and autocorrelation problems simultaneously for the general linear ...
Ozbay, N., Dawoud, I., Kaciranlar, S.
openaire   +3 more sources

Performance of some estimators for the multicollinear logistic regression model: theory, simulation, and applications

open access: yesResearch in Statistics
This article proposes some new estimators, namely Stein’s estimators for ridge regression and Kibria and Lukman estimator and compares their performance with some existing estimators, namely maximum likelihood estimator (MLE), ridge regression estimator,
Md Ariful Hoque, B. M. Golam Kibria
doaj   +1 more source

Modified One-Parameter Liu Estimator for the Linear Regression Model

open access: yesModelling 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   +3 more
doaj   +1 more source

Large‐scale bidirectional arrayed genetic screens identify OXR1 and EMC4 as modifiers of αSynuclein aggregation

open access: yesFEBS Open Bio, EarlyView.
Activation of the mitochondrial protein OXR1 increases pSyn129 αSynuclein aggregation by lowering ATP levels and altering mitochondrial membrane potential, particularly in response to MSA‐derived fibrils. In contrast, ablation of the ER protein EMC4 enhances autophagic flux and lysosomal clearance, broadly reducing α‐synuclein aggregates.
Sandesh Neupane   +11 more
wiley   +1 more source

Biased proportional hazard regression estimator in the existence of collinearity

open access: yesHeliyon, 2023
This paper proposed a new biased proportional hazard regression (PHR) estimator which is the combination of elastic net proportional hazard regression (ENPHR) and principal components proportional hazard regression (PCPHR) estimator.
Anu Sirohi   +3 more
doaj   +1 more source

Enhancing Corrosion Resistance and Mechanical Strength of 3D‐Printed Iron Polylactic Acid for Marine Applications via Laser Surface Texturing

open access: yesAdvanced Engineering Materials, EarlyView.
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat   +6 more
wiley   +1 more source

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