Results 81 to 90 of about 163,142 (181)

Unsupervised Liu-type shrinkage estimators for mixture of regression models

open access: yesStatistical Methods in Medical Research
The mixture of probabilistic regression models is one of the most common techniques to incorporate the information of covariates into learning of the population heterogeneity. Despite its flexibility, unreliable estimates can occur due to multicollinearity among covariates.
Elsayed Ghanem   +2 more
openaire   +3 more sources

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

open access: yesMathematics
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   +2 more
doaj   +1 more source

Liu-Type Logistic Estimators with Optimal Shrinkage Parameter

open access: yesJournal of Modern Applied Statistical Methods, 2016
Multicollinearity in logistic regression affects the variance of the maximum likelihood estimator negatively. In this study, Liu-type estimators are used to reduce the variance and overcome the multicollinearity by applying some existing ridge regression estimators to the case of logistic regression model.
openaire   +2 more sources

Modified two parameter ridge estimator for beta regression model

open access: yesJournal of Radiation Research and Applied Sciences
A beta regression model (BRM) typically occurs when your data involves proportions or continuous response variables that are bounded between 0 and 1, and the distributional assumptions and functional forms of a GLM with a standard error distribution (e.g.
Ayesha Junaid   +6 more
doaj   +1 more source

New Estimators of Modified Liu

open access: yesJournal of Statistical Sciences, 2019
Maryam Borzoei Bidgoli, mohammad arashi
openaire   +1 more source

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