| Ridge regression and its applications in genetic studies M Arashi, M Roozbeh, NA Hamzah, M Gasparini Plos one 16 (4), e0245376, 2021 | 93 | 2021 |
| Optimal QR-based estimation in partially linear regression models with correlated errors using GCV criterion M Roozbeh Computational Statistics & Data Analysis 117, 45-61, 2018 | 89 | 2018 |
| Optimal partial ridge estimation in restricted semiparametric regression models M Amini, M Roozbeh Journal of Multivariate Analysis 136, 26-40, 2015 | 86 | 2015 |
| Feasible ridge estimator in partially linear models M Roozbeh, M Arashi Journal of Multivariate Analysis 116, 35-44, 2013 | 59 | 2013 |
| Shrinkage ridge estimators in semiparametric regression models M Roozbeh Journal of Multivariate Analysis 136, 56-74, 2015 | 58 | 2015 |
| Generalized Cross-Validation for Simultaneous Optimization of Tuning Parameters in Ridge Regression M Roozbeh, M Arashi, NA Hamzah Iranian journal of science and technology. transaction a, science 44, 473–485, 2020 | 54 | 2020 |
| Robust ridge estimator in restricted semiparametric regression models M Roozbeh Journal of Multivariate Analysis 147, 127-144, 2016 | 46 | 2016 |
| Generalized difference-based weighted mixed almost unbiased ridge estimator in partially linear models F Akdeniz, M Roozbeh Statistical Papers 60 (5), 1717-1739, 2019 | 43 | 2019 |
| A fuzzy robust regression approach applied to bedload transport data J Chachi, M Roozbeh Communications in Statistics-Simulation and Computation 46 (3), 1703-1714, 2017 | 40 | 2017 |
| Ridge estimation in semi-parametric regression models under the stochastic restriction and correlated elliptically contoured errors M Roozbeh, G Hesamian, MG Akbari Journal of Computational and Applied Mathematics, 112940, 2020 | 32 | 2020 |
| A heuristic approach to combat multicollinearity in least trimmed squares regression analysis M Roozbeh, S Babaie-Kafaki, AN Sadigh Applied Mathematical Modelling 57, 105-120, 2018 | 31 | 2018 |
| Efficiency of the generalized difference-based Liu estimators in semiparametric regression models with correlated errors F Akdeniz, E Akdeniz Duran, M Roozbeh, M Arashi Journal of Statistical Computation and Simulation 85 (1), 147-165, 2015 | 31 | 2015 |
| Ridge regression methodology in partial linear models with correlated errors M Roozbeh, M Arashi, HA Niroumand Journal of Statistical Computation and Simulation 81 (4), 517-528, 2011 | 29 | 2011 |
| Efficiency of the generalized-difference-based weighted mixed almost unbiased two-parameter estimator in partially linear model F Akdeniz, M Roozbeh Communications in Statistics-Theory and Methods 46 (24), 12259-12280, 2017 | 23 | 2017 |
| Shrinkage ridge regression in partial linear models M Roozbeh, M Arashi Communications in Statistics-Theory and Methods 45 (20), 6022-6044, 2016 | 23 | 2016 |
| Some improved estimation strategies in high-dimensional semiparametric regression models with application to riboflavin production data M Arashi, M Roozbeh Statistical Papers 60, 667-686, 2019 | 21 | 2019 |
| Least trimmed squares ridge estimation in partially linear regression models M Amini, M Roozbeh Journal of Statistical Computation and Simulation 86 (14), 2766-2780, 2016 | 21 | 2016 |
| Two penalized mixed–integer nonlinear programming approaches to tackle multicollinearity and outliers effects in linear regression models. M Roozbeh, S Babaie–Kafaki, Z Aminifard Journal of Industrial & Management Optimization 17 (6), 2021 | 20 | 2021 |
| Semiparametric ridge regression approach in partially linear models M Roozbeh, M Arashi, HA Niroumand Communications in Statistics—Simulation and Computation® 39 (3), 449-460, 2010 | 17 | 2010 |
| A revised Cholesky decomposition to combat multicollinearity in multiple regression models S Babaie-Kafaki, M Roozbeh Journal of Statistical Computation and Simulation 87 (12), 2298-2308, 2017 | 16 | 2017 |
Mohammad ArashiProfessor of Statistics, Ferdowsi University of MashhadVerified email at um.ac.ir
