| Quantile based estimation of biasing parameters in ridge regression model M Suhail, S Chand, BMG Kibria Communications in Statistics-Simulation and Computation 49 (10), 2732-2744, 2020 | 38 | 2020 |
| A comparison of some new and old robust ridge regression estimators S Ali, H Khan, I Shah, MM Butt, M Suhail Communications in Statistics-Simulation and Computation 50 (8), 2213-2231, 2021 | 33 | 2021 |
| Quantile-based robust ridge m-estimator for linear regression model in presence of multicollinearity and outliers M Suhail, S Chand, BMG Kibria Communications in Statistics-Simulation and Computation 50 (11), 3194-3206, 2021 | 21 | 2021 |
| Modified Liu estimators in the linear regression model: An application to Tobacco data I Babar, H Ayed, S Chand, M Suhail, YA Khan, R Marzouki Plos one 16 (11), e0259991, 2021 | 16 | 2021 |
| Performance of some new ridge parameters in two-parameter ridge regression model S Yasin, S Kamal, M Suhail Iranian Journal of Science and Technology, Transactions A: Science 45 (1 …, 2021 | 15 | 2021 |
| New quantile based ridge M-estimator for linear regression models with multicollinearity and outliers M Suhail, S Chand, M Aslam Communications in Statistics-Simulation and Computation 52 (4), 1417-1434, 2023 | 12 | 2023 |
| Performance of some new ridge regression estimators M Suhail, S Chand 2019 13th International Conference on Mathematics, Actuarial Science …, 2019 | 12 | 2019 |
| Quantile‐Based Estimation of Liu Parameter in the Linear Regression Model: Applications to Portland Cement and US Crime Data M Suhail, I Babar, YA Khan, M Imran, Z Nawaz Mathematical Problems in Engineering 2021 (1), 1772328, 2021 | 10 | 2021 |
| Modified method for choosing ridge parameter A Ullah, M Suhail, M Ilyas Journal of Statistics 24 (1), 20, 2017 | 9 | 2017 |
| Modified ridge regression estimators: a simulation study M Suhail, M Ilyas, A Ullah 15th Islamic Countries Conference on Statistical Sciences (ICCS-15), 119, 2020 | 7 | 2020 |
| Bootstrap Liu estimators for Poisson regression model I Perveen, M Suhail Communications in Statistics-Simulation and Computation 52 (7), 2811-2821, 2023 | 6 | 2023 |
| Modified Robust Ridge M‐Estimators in Two‐Parameter Ridge Regression Model S Yasin, S Salem, H Ayed, S Kamal, M Suhail, YA Khan Mathematical Problems in Engineering 2021 (1), 1845914, 2021 | 6 | 2021 |
| Determinants of various factors for wheat production M Iqbal, MF Khan, M Suhail, Q Zaman J. Agric. Res 55 (2), 379-385, 2017 | 6 | 2017 |
| Antimicrobial studies of the crude extracts from the roots of Chenopodium ambrosioides Linn H Shah, M Nisar, M Suhail, N Bacha African journal of microbiology research 8 (21), 2099-2104, 2014 | 6 | 2014 |
| ON SOME NEW RIDGE M-ESTIMATORS FOR LINEAR REGRESSION MODELS UNDER VARIOUS ERROR DISTRIBUTIONS M Suhail, S Chand, I Babar Pakistan Journal of Statistics 37 (4), 369-391, 2021 | 5 | 2021 |
| On the performance of two-parameter ridge estimators for handling multicollinearity problem in linear regression: Simulation and application MS Khan, A Ali, M Suhail, FA Awwad, EAA Ismail, H Ahmad AIP Advances 13 (11), 2023 | 4 | 2023 |
| Modified robust ridge M-estimators for linear regression models: an application to tobacco data D Wasim, SA Khan, M Suhail Journal of Statistical Computation and Simulation 93 (15), 2703-2724, 2023 | 3 | 2023 |
| The odd modified Burr-III exponential distribution: properties, estimation and application H Rasheed, IS Dar, M Saqib, N Abbas, M Suhail Journal of the National Science Foundation of Sri Lanka 50 (2), 425-39, 2022 | 2 | 2022 |
| Comparative study for choosing ridge parameter A Ullah, M Suhail, M Ilyas “All papers published in the, 39, 2015 | 2 | 2015 |
| On the estimation of ridge penalty in linear regression: simulation and application MS Khan, A Ali, M Suhail, ES Alotaibi, NE Alsubaie Kuwait Journal of Science, 100273, 2024 | 1 | 2024 |
B M Golam KibriaProfessor at Florida International University在 fiu.edu 的电子邮件经过验证
