| Extreme value Birnbaum–Saunders regression models applied to environmental data V Leiva, M Ferreira, MI Gomes, C Lillo Stochastic Environmental Research and Risk Assessment 30, 1045-1058, 2016 | 47 | 2016 |
| A beta partial least squares regression model: Diagnostics and application to mining industry data M Huerta, V Leiva, C Lillo, M Rodríguez Applied Stochastic Models in Business and Industry 34 (3), 305-321, 2018 | 23 | 2018 |
| L-moments of the Birnbaum–Saunders distribution and its extreme value version: Estimation, goodness of fit and application to earthquake data C Lillo, V Leiva, O Nicolis, RG Aykroyd Journal of Applied Statistics 45 (2), 187-209, 2018 | 23 | 2018 |
| Sarcocornia neei as an Indicator of Environmental Pollution: A Comparative Study in Coastal Wetlands of Central Chile V Meza, C Lillo, D Rivera, E Soto, R Figueroa Plants 7 (3), 66, 2018 | 15 | 2018 |
| Modeling lot-size with time-dependent demand based on stochastic programming and case study of drug supply in Chile F Rojas, V Leiva, P Wanke, C Lillo, J Pascual PloS one 14 (3), e0212768, 2019 | 14 | 2019 |
| Discussion of “Birnbaum‐Saunders distribution: A review of models, analysis, and applications” and a novel financial extreme value data analytics from natural disasters V Leiva, C Lillo, MI Gomes, M Ferreira Applied Stochastic Models in Business and Industry 35 (1), 90-95, 2019 | 9* | 2019 |
| An asymmetric area model-based approach for small area estimation applied to survey data M Rodriguez, V Leiva, M Huerta, C Lillo, A Tapia, F Ruggeri REVSTAT-Statistical Journal 19 (3), 399-420, 2021 | 7 | 2021 |
| On a business confidence index and its data analytics: A Chilean case V Leiva, C Lillo, R Morrás Recent Studies on Risk Analysis and Statistical Modeling, 67-85, 2018 | 3 | 2018 |
