| Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review J Carrasco, S García, MM Rueda, S Das, F Herrera Swarm and Evolutionary Computation 54, 100665, 2020 | 534 | 2020 |
| Temperament and characteristics related to nomophobia MA Olivencia-Carrión, R Ferri-García, M del Mar Rueda, ... Psychiatry Research 266, 5-10, 2018 | 143 | 2018 |
| Estimation of the distribution function with calibration methods M Rueda, S Martínez, H Martínez, A Arcos Journal of statistical planning and inference 137 (2), 435-448, 2007 | 109 | 2007 |
| Propensity score adjustment using machine learning classification algorithms to control selection bias in online surveys R Ferri-García, MM Rueda PloS one 15 (4), e0231500, 2020 | 97 | 2020 |
| Incorporating the auxiliary information available in variance estimation A Arcos, M Rueda, MD Martınez, S González, Y Roman Applied Mathematics and Computation 160 (2), 387-399, 2005 | 63 | 2005 |
| rnpbst: An r package covering non-parametric and bayesian statistical tests J Carrasco, S García, M del Mar Rueda, F Herrera International Conference on Hybrid Artificial Intelligence Systems, 281-292, 2017 | 62 | 2017 |
| Indirect questioning method reveals hidden support for female genital cutting in South Central Ethiopia MA Gibson, E Gurmu, B Cobo, MM Rueda, IM Scott PloS one 13 (5), e0193985, 2018 | 51 | 2018 |
| Evaluation of the effectiveness of a smoking prevention program based on the ‘Life Skills Training’approach M Luna-Adame, TJ Carrasco-Giménez, MM Rueda-García Health Education Research 28 (4), 673-682, 2013 | 49 | 2013 |
| New imputation methods for missing data using quantiles JF Muñoz, M Rueda Journal of Computational and Applied Mathematics 232 (2), 305-317, 2009 | 49 | 2009 |
| A generalized approach to randomised response for quantitative variables A Arcos, MM Rueda, S Singh Quality & Quantity 49 (3), 1239-1256, 2015 | 47 | 2015 |
| Missing data and auxiliary information in surveys M Rueda, S González Computational Statistics 19 (4), 551-567, 2004 | 41 | 2004 |
| Efficiency of propensity score adjustment and calibration on the estimation from non-probabilistic online surveys R Ferri García, MDM Rueda García | 39 | 2020 |
| Model-calibration estimation of the distribution function using nonparametric regression M Rueda, I Sánchez-Borrego, A Arcos, S Martínez Metrika 71 (1), 33-44, 2010 | 39 | 2010 |
| Combining statistical matching and propensity score adjustment for inference from non-probability surveys L Castro-Martín, M del Mar Rueda, R Ferri-García Journal of Computational and Applied Mathematics 404, 113414, 2022 | 38 | 2022 |
| Calibrated prevalence of infertility in 30-to 49-year-old women according to different approaches: a cross-sectional population-based study A Cabrera-León, V Lopez-Villaverde, M Rueda, MN Moya-Garrido Human Reproduction 30 (11), 2677-2685, 2015 | 37 | 2015 |
| Calibration estimation in dual-frame surveys MG Ranalli, A Arcos, MM Rueda, A Teodoro Statistical Methods & Applications 25 (3), 321-349, 2016 | 36 | 2016 |
| Adherence to treatment to help quit smoking: effects of task performance and coping with withdrawal symptoms F López-Torrecillas, MM Rueda, EM López-Quirantes, JM Santiago, ... BMC public health 14 (1), 1217, 2014 | 36 | 2014 |
| Difference estimators of quantiles in finite populations M del Mar Rueda, A Arcos, M Dolores Martínez Test 12 (2), 481-496, 2003 | 36 | 2003 |
| Inference from non-probability surveys with statistical matching and propensity score adjustment using modern prediction techniques L Castro-Martín, MM Rueda, R Ferri-García Mathematics 8 (6), 879, 2020 | 34 | 2020 |
| Some improved estimators of finite population quantile using auxiliary information in sample surveys MM Rueda, A Arcos, MD Martınez-Miranda, Y Román Computational statistics & data analysis 45 (4), 825-848, 2004 | 33 | 2004 |
