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A new stochastic mixed Liu estimator in linear regression model

Communications in Statistics - Theory and Methods, 2018
To overcome multicollinearity, a new stochastic mixed Liu estimator is presented and its efficiency is considered.
openaire   +1 more source

Person-time generalized linear regression mixed models in survival analysis

Statistics
This study presents a methodological contribution within a discrete-time survival analysis framework by introducing a person-time generalized linear mixed model. An application of this methodology, using logistic models with random effects, is provided in the context of academic career progression in Italy, a field where gender disparities remain a ...
Mezzetti, Maura, Negri, Ilia
openaire   +1 more source

Modified stochastic weighted mixed estimator for linear regression model

AIP Conference Proceedings, 2023
Mahmoud H. Eiada AL_Hayani   +1 more
openaire   +1 more source

Two penalized mixed–integer nonlinear programming approaches to tackle multicollinearity and outliers effects in linear regression models

Journal of Industrial and Management Optimization, 2021
Zohre Aminifard, Saman Babaie-Kafaki
exaly  

A nonlinear mixed–integer programming approach for variable selection in linear regression model

Communications in Statistics - Simulation and Computation, 2021
Mahdi Roozbeh   +2 more
openaire   +2 more sources

Generalized Linear Mixed Models With Crossed Effects and Unit-specific Survey Weights

Journal of Computational and Graphical Statistics, 2022
Jan Pablo Burgard
exaly  

Identification of hybrid and linear parameter‐varying models via piecewise affine regression using mixed integer programming

International Journal of Robust and Nonlinear Control, 2020
Alberto Bemporad   +2 more
exaly  

Bayesian quantile regression-based partially linear mixed-effects joint models for longitudinal data with multiple features

Statistical Methods in Medical Research, 2019
Yangxin Huang   +2 more
exaly  

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