Results 121 to 130 of about 551 (134)

Unifying the prediction strategies of Theil-Goldberger and Kibria-Lukman within linear mixed models

Communications in Statistics - Theory and Methods
. Linear mixed models employ the best linear unbiased estimator and the best linear unbiased predictor to estimate the parameter vectors for fixed and random effects.
Özge Kuran
exaly   +2 more sources

Influence diagnostics in the linear model with Kibria–Lukman estimator

Communications in Statistics - Simulation and Computation
T. J. Adejumo, M. Amin, K. Ayinde, E. Adewuyi   +3 more
semanticscholar   +2 more sources

Improved survival analysis with shrinkage Kibria-Lukman estimators in the Cox model: Application to lung cancer data.

Statistical Methods in Medical Research
The Cox proportional hazards regression model is a widely used and valuable tool for modeling survival time with predictors, however its performance can deteriorate in the presence of multicollinearity.
Solmaz Seifollahi, M. Arashi
semanticscholar   +2 more sources

A New Kernel Prediction Approach Under Kibria‐Lukman Methodology for Partially Linear Mixed Measurement Error Models

Environmetrics
In this study, we propose a new kernel prediction approach based on the Kibria‐Lukman methodology to reduce the effects of multicollinearity in partially linear mixed measurement error models.
Özge Kuran, S. Yalaz
semanticscholar   +1 more source

An Enhanced Extreme Learning Machines Based on Kibria-Lukman Regularization Approach

2025 2nd International Seminar on Artificial Intelligence, Computer Technology and Control Engineering (ACTCE)
The Extreme Learning Machine (ELM) stands out for its simplicity and efficiency, yet struggles with datasets marked by multicollinearity, which can undermine its accuracy and stability.
Qian Wang, Jibo Wu, Xiaowei Xue
semanticscholar   +1 more source

Modified jackknife Kibria–Lukman estimator for the Poisson regression model

Concurrency Computation Practice and Experience, 2022
Henrietta Ebele Oranye, Fidelis Ifeanyi Ugwuowo   +1 more
exaly  

Modified Kibria-Lukman (MKL) estimator for the Poisson Regression Model: application and simulation

F1000Research, 2021
Benedicta Aladeitan, Adewale F Lukman, Olajumoke Oludoun   +2 more
exaly   +2 more sources

A robust Kibria–Lukman estimator for linear regression model to combat multicollinearity and outliers

Concurrency Computation Practice and Experience, 2023
Abdul Majid, Shakeel Ahmad, Muhammad Aslam   +2 more
exaly  

On the jackknife Kibria-Lukman estimator for the linear regression model

Communications in Statistics Part B: Simulation and Computation, 2023
Fidelis Ifeanyi Ugwuowo, Henrietta Ebele Oranye, Kingsley Chinedu Arum   +2 more
exaly  

Kibria‐Lukmantype estimator for gamma regression model

Concurrency Computation Practice and Experience, 2023
Gladys Amos Shewa
exaly