Acceptance sampling plans from truncated life tests based on the generalized Birnbaum–Saunders distribution N Balakrishnan, V Leiva, J López Communications in Statistics—Simulation and Computation® 36 (3), 643-656, 2007 | 395 | 2007 |
An interactive biplot implementation in R for modeling genotype-by-environment interaction E Frutos, MP Galindo, V Leiva Stochastic Environmental Research and Risk Assessment 28, 1629-1641, 2014 | 310 | 2014 |
A new family of life distributions based on the elliptically contoured distributions JA Diaz-Garcia, V Leiva-Sanchez JOURNAL OF STATISTICAL PLANNING AND INFERENCE 128 (2), 445-457, 2005 | 251 | 2005 |
Influence diagnostics in log-Birnbaum–Saunders regression models with censored data V Leiva, M Barros, GA Paula, M Galea Computational Statistics & Data Analysis 51 (12), 5694-5707, 2007 | 170 | 2007 |
The Birnbaum-Saunders Distribution V Leiva Academic Press, 2015 | 167 | 2015 |
Generalized Birnbaum‐Saunders distributions applied to air pollutant concentration V Leiva, M Barros, GA Paula, A Sanhueza Environmetrics: The Official Journal of the International Environmetrics …, 2008 | 154 | 2008 |
The generalized Birnbaum–Saunders distribution and its theory, methodology, and application A Sanhueza, V Leiva, N Balakrishnan Communications in Statistics—Theory and Methods 37 (5), 645-670, 2008 | 136 | 2008 |
A new class of survival regression models with heavy-tailed errors: robustness and diagnostics M Barros, GA Paula, V Leiva Lifetime data analysis 14, 316-332, 2008 | 132 | 2008 |
Robust statistical modeling using the Birnbaum‐Saunders‐t distribution applied to insurance GA Paula, V Leiva, M Barros, S Liu Applied Stochastic Models in Business and Industry 28 (1), 16-34, 2012 | 125 | 2012 |
Knowledge discovery for higher education student retention based on data mining: Machine learning algorithms and case study in Chile CA Palacios, JA Reyes-Suárez, LA Bearzotti, V Leiva, C Marchant Entropy 23 (4), 485, 2021 | 123 | 2021 |
A length-biased version of the Birnbaum-Saunders distribution with application in water quality V Leiva, A Sanhueza, JM Angulo Stochastic Environmental Research and Risk Assessment 23, 299-307, 2009 | 118 | 2009 |
Mixture inverse Gaussian distributions and its transformations, moments and applications N Balakrishnan, V Leiva, A Sanhueza, E Cabrera Statistics 43 (1), 91-104, 2009 | 118 | 2009 |
A skewed sinh-normal distribution and its properties and application to air pollution V Leiva, F Vilca, N Balakrishnan, A Sanhueza Communications in Statistics—Theory and Methods 39 (3), 426-443, 2010 | 114 | 2010 |
Influence diagnostics in log-Birnbaum-Saunders regression models M Galea, V Leiva-Sánchez, G Paula Journal of Applied Statistics 31 (9), 1049-1064, 2004 | 114 | 2004 |
Lifetime analysis based on the generalized Birnbaum–Saunders distribution V Leiva, M Riquelme, N Balakrishnan, A Sanhueza Computational Statistics & Data Analysis 52 (4), 2079-2097, 2008 | 113 | 2008 |
Capability indices for Birnbaum–Saunders processes applied to electronic and food industries V Leiva, C Marchant, H Saulo, M Aslam, F Rojas Journal of Applied Statistics 41 (9), 1881-1902, 2014 | 108 | 2014 |
Generalized Birnbaum–Saunders kernel density estimators and an analysis of financial data C Marchant, K Bertin, V Leiva, H Saulo Computational Statistics & Data Analysis 63, 1-15, 2013 | 101 | 2013 |
A new fatigue life model based on the family of skew-elliptical distributions F Vilca-Labra, V Leiva-Sánchez Communications in Statistics—Theory and Methods 35 (2), 229-244, 2006 | 100 | 2006 |
On an extreme value version of the Birnbaum–Saunders distribution M Ferreira, MI Gomes, V Leiva REVSTAT-Statistical Journal 10 (2), 181–210-181–210, 2012 | 92 | 2012 |
Estimation in the Birnbaum-Saunders distribution based on scale-mixture of normals and the EM-algorithm N Balakrishnan, V Leiva, A Sanhueza, F Vilca Sort 33 (2), 171-192, 2009 | 92 | 2009 |