Blank
Al-Azhar University – Gaza
2025
Communications in Statistics: Simulation and Computation
Bayesian information criteria for multiple regression models: A study of robustness and comparisons
54
12
5111
5122
Taylor and Francis Ltd.
Department of Mathematics, College of Science, Jazan University, Jazan, Saudi Arabia; Department of Mathematics, Al-Azhar University-Gaza, Palestine; Department of Statistics and Applied Probability, University of California, Santa Barbara, United States
0
10.1080/03610918.2024.2434712
Logistic regression; Statistics; Bayesian information criterion; Influence functions; Information criterion; Leverage points; Multiple regression modelling; Outlier; Robust variable selection criteria; Robustness properties; Selection criteria; Variables selections; Multiple linear regression