Adewale F. Lukman

Orcid: 0000-0003-2881-1297

According to our database1, Adewale F. Lukman authored at least 15 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Regularized estimation for right-censored zero-inflated poisson regression: methods and applications to health data.
Comput. Stat., January, 2026

Enhancing process monitoring in the Conway-Maxwell-Poisson framework: A study of deviance residual-based control charts with the Kibria-Lukman estimator.
J. Comput. Appl. Math., 2026

2025
Weighted LAD-Liu-LASSO for robust estimation and sparsity.
Comput. Stat., December, 2025

An Alternative Estimator for Poisson-Inverse-Gaussian Regression: The Modified Kibria-Lukman Estimator.
Algorithms, 2025

2024
Robust Enhanced Ridge-Type Estimation for the Poisson Regression Models: Application to English League Football Data.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., November, 2024

Enhanced Model Predictions through Principal Components and Average Least Squares-Centered Penalized Regression.
Symmetry, April, 2024

A new improved Liu estimator for the QSAR model with inverse Gaussian response.
Commun. Stat. Simul. Comput., April, 2024

Influence measures in gamma modified ridge type estimator.
Commun. Stat. Simul. Comput., January, 2024

Handling Multicollinearity and Outliers in Logistic Regression Using the Robust Kibria-Lukman Estimator.
Axioms, 2024

2023
Robust biased estimators for Poisson regression model: Simulation and applications.
Concurr. Comput. Pract. Exp., 2023

2022
Dawoud-Kibria Estimator for Beta Regression Model: Simulation and Application.
Frontiers Appl. Math. Stat., 2022

Modified ridge-type estimator for the gamma regression model.
Commun. Stat. Simul. Comput., 2022

K-L estimator for the linear mixed models: Computation and simulation.
Concurr. Comput. Pract. Exp., 2022

2021
Unbiased K-L estimator for the linear regression model.
F1000Research, 2021

The KL estimator for the inverse Gaussian regression model.
Concurr. Comput. Pract. Exp., 2021


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