| Non‐normal capability indices for the Weibull and lognormal distributions MR Piña‐Monarrez, JF Ortiz‐Yañez, MI Rodríguez‐Borbón Quality and Reliability Engineering International 32 (4), 1321-1329, 2016 | 57 | 2016 |
| Weibull and lognormal Taguchi analysis using multiple linear regression MR Piña-Monarrez, JF Ortiz-Yañez Reliability Engineering & System Safety 144, 244-253, 2015 | 46 | 2015 |
| Weibull stress distribution for static mechanical stress and its stress/strength analysis MR Piña‐Monarrez Quality and Reliability Engineering International 34 (2), 229-244, 2018 | 45 | 2018 |
| Fatigue-life prediction of mechanical element by using the Weibull distribution JM Barraza-Contreras, MR Piña-Monarrez, A Molina Applied Sciences 10 (18), 6384, 2020 | 27 | 2020 |
| Human–machine systems reliability: A series–parallel approach for evaluation and improvement in the field of machine tools RM Amaya-Toral, MR Piña-Monarrez, RM Reyes-Martínez, ... Applied Sciences 12 (3), 1681, 2022 | 18 | 2022 |
| Weibull analysis for normal/accelerated and fatigue random vibration test MR Piña‐Monarrez Quality and Reliability Engineering International 35 (7), 2408-2428, 2019 | 17 | 2019 |
| Robust sample size for Weibull demonstration test plan MR Piña-Monarrez, ML Ramos-López, A Alvarado-Iniesta, ... Dyna 83 (197), 52-57, 2016 | 15 | 2016 |
| Stress-based Weibull method to select a ball bearing and determine its actual reliability B Villa-Covarrubias, MR Piña-Monarrez, JM Barraza-Contreras, ... Applied Sciences 10 (22), 8100, 2020 | 12 | 2020 |
| Discrimination between the lognormal and Weibull distributions by using multiple linear regression JF Ortiz-Yañez, MR Piña-Monarrez Dyna 85 (205), 9-18, 2018 | 12 | 2018 |
| Conditional Weibull control charts using multiple linear regression MR Piña‐Monarrez Quality and Reliability Engineering International 33 (4), 785-791, 2017 | 12 | 2017 |
| Reliability by using Weibull distribution based on vibration fatigue damage JM Barraza-Contreras, MR Piña-Monarrez, RC Torres-Villaseñor Applied Sciences 13 (18), 10291, 2023 | 11 | 2023 |
| Reliability analysis for laptop computer under electrical harmonics LC Mendez‐Gonzalez, MI Rodríguez‐Borbón, MR Piña‐Monarrez, ... Quality and Reliability Engineering International 32 (8), 2945-2960, 2016 | 11 | 2016 |
| A NEW THEORY IN MULTIPLE LINEAR REGRESSION. MR Piña-Monarrez International Journal of Industrial Engineering 18 (6), 2011 | 11 | 2011 |
| Stress-strength Weibull analysis with different shape parameter β and probabilistic safety factor M Baro-Tijerina, MR Piña-Monárrez, B Villa-Covarrubias Dyna 87 (215), 28-33, 2020 | 10 | 2020 |
| Metodología robusta para superficies de respuestas MR Piña, MA Rodríguez, EM Benavides Cultura Científica y Tecnológica, 2015 | 10 | 2015 |
| Multiobjective optimization of torch brazing process by a hybrid of fuzzy logic and multiobjective artificial bee colony algorithm A Alvarado-Iniesta, JL García-Alcaraz, M Piña-Monarrez, ... Journal of Intelligent Manufacturing 27, 631-638, 2016 | 9 | 2016 |
| Weibull accelerated life testing analysis with several variables using multiple linear regression MR Piña-Monarrez, CA Ávila-Chávez, CD Márquez-Luévano Dyna 82 (191), 156-162, 2015 | 9 | 2015 |
| Random vibration fatigue analysis using a nonlinear cumulative damage model JM Barraza-Contreras, MR Piña-Monarrez, A Molina, ... Applied Sciences 12 (9), 4310, 2022 | 8 | 2022 |
| Weibull SN Fatigue Strength Curve Analysis for A572 Gr. 50 Steel, Based on the True Stress—True Strain Approach A Molina, MR Piña-Monarrez, JM Barraza-Contreras Applied Sciences 10 (16), 5725, 2020 | 8 | 2020 |
| Unbiased Weibull capabilities indices using multiple linear regression MR Piña‐Monarrez, M Baro‐Tijerina, JF Ortiz‐Yañez Quality and Reliability Engineering International 33 (8), 1915-1920, 2017 | 8 | 2017 |
