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New Two-Parameter Ridge Estimators for Addressing Multicollinearity in Linear Regression: Theory, Simulation, and Applications. 9. 2026
Improving Confidence Interval Estimation in Logistic Regression with Multicollinear Predictors: A Comparative Study of Shrinkage Estimators and Application to Prostate Cancer Data. 9. 2026
The Ridge-Hurdle Negative Binomial Regression Model: A Novel Solution for Zero-Inflated Counts in the Presence of Multicollinearity. 8. 2025
A Simulation-Based Comparative Analysis of Two-Parameter Robust Ridge M-Estimators for Linear Regression Models. 8. 2025
Evaluating Estimator Performance Under Multicollinearity: A Trade-Off Between MSE and Accuracy in Logistic, Lasso, Elastic Net, and Ridge Regression with Varying Penalty Parameters. 8. 2025
Inferences About Two-Parameter Multicollinear Gaussian Linear Regression Models: An Empirical Type I Error and Power Comparison. 8. 2025
An Unbiased Convex Estimator Depending on Prior Information for the Classical Linear Regression Model. 8. 2025
New Vessel Extraction Method by Using Skew Normal Distribution for MRA Images. 7:203-219. 2024
A New Biased Estimator to Combat the Multicollinearity of the Gaussian Linear Regression Model. 3:526-541. 2020
On Some Test Statistics for Testing the Regression Coefficients in Presence of Multicollinearity: A Simulation Study. 3:40-55. 2020

Electronic International Standard Serial Number (EISSN)

2571-905X