Author |
Title |
Year |
Publication |
Volume |
Pages |
Leao, J.; Leiva, V.; Saulo, H.; Tomazella, V. |
Birnbaum-Saunders frailty regression models: Diagnostics and application to medical data |
2017 |
Biometrical Journal |
59 |
291-314 |
Leiva, V.; Saulo, H.; Leao, J.; Marchant, C. |
A family of autoregressive conditional duration models applied to financial data |
2014 |
Computational Statistics & Data Analysis |
79 |
175-191 |
Leiva, V.; Tejo, M.; Guiraud, P.; Schmachtenberg, O.; Orio, P.; Marmolejo-Ramos, F. |
Modeling neural activity with cumulative damage distributions |
2015 |
Biological Cybernetics |
109 |
421-433 |
Marchant, C.; Leiva, V.; Cysneiros, F.J.A. |
A Multivariate Log-Linear Model for Birnbaum-Saunders Distributions |
2016 |
Ieee Transactions On Reliability |
65 |
816-827 |
Marchant, C.; Leiva, V.; Cysneiros, F.J.A.; Vivanco, J.F. |
Diagnostics in multivariate generalized Birnbaum-Saunders regression models |
2016 |
Journal Of Applied Statistics |
43 |
2829-2849 |
Martinez, C.; Aguilar, C.; Briones, E.; Guzman, D.; Zelaya, E.; Troncoso, L.; Roja, P.A. |
Effects of Zr on the amorphization of Cu-Ni-Zr alloys prepared by mechanical alloying |
2018 |
Journal of Alloys and Compounds |
765 |
771-781 |
Miranda, A.; Mentler, R.; Moletto-Lobos, I.; Alfaro, G.; Aliaga, L.; Balbontin, D.; Barraza, M.; Baumbach, S.; Calderon, P.; Cardenas, F.; Castillo, I.; Contreras, G.; de la Barra, F.; Galleguillos, M.; Gonzalez, M.E.; Hormazabal, C.; Lara, A.; Mancilla, I.; Munoz, F.; Oyarce, C.; Pantoja, F.; Ramirez, R.; Urrutia, V. |
The Landscape Fire Scars Database: mapping historical burned area and fire severity in Chile |
2022 |
Earth System Science Data |
14 |
3599-3613 |
Sanchez, R.; Briones, M.J.; Gamboa, A.; Monsalve, R.; Berroeta, D.; Valenzuela, L. |
Delimitation of burned areas in Chile based on dNBR thresholds adjusted according to region and land cover |
2023 |
Revista de Teledeteccion |
61 |
43-58 |
Santos-Neto, M.; Cysneiros, F.J.A.; Leiva, V.; Barros, M. |
Reparameterized Birnbaum-Saunders regression models with varying precision |
2016 |
Electronic Journal Of Statistics |
10 |
2825-2855 |