Author  |
Title |
Year |
Publication |
Volume |
Pages |
| Barros, M.; Galea, M.; Leiva, V.; Santos-Neto, M. |
Generalized Tobit models: diagnostics and application in econometrics |
2018 |
Journal Of Applied Statistics |
45 |
145-167 |
| Fierro, R.; Leiva, V. |
A stochastic methodology for risk assessment of a large earthquake when a long time has elapsed |
2017 |
Stochastic Environmental Research And Risk Assessment |
31 |
2327-2336 |
| Fierro, R.; Leiva, V.; Balakrishnan, N. |
Statistical Inference on a Stochastic Epidemic Model |
2015 |
Communications In Statistics-Simulation And Computation |
44 |
2297-2314 |
| Fierro, R.; Leiva, V.; Moller, J. |
The Hawkes Process With Different Exciting Functions And Its Asymptotic Behavior |
2015 |
Journal Of Applied Probability |
52 |
37-54 |
| Garcia-Papani, F.; Uribe-Opazo, M.A.; Leiva, V.; Aykroyd, R.G. |
Birnbaum-Saunders spatial modelling and diagnostics applied to agricultural engineering data |
2017 |
Stochastic Environmental Research And Risk Assessment |
31 |
105-124 |
| Khosravi, M.; Leiva, V.; Jamalizadeh, A.; Porcu, E. |
On a nonlinear Birnbaum-Saunders model based on a bivariate construction and its characteristics |
2016 |
Communications In Statistics-Theory And Methods |
45 |
772-793 |
| 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.; Ferreira, M.; Gomes, M.I.; Lillo, C. |
Extreme value Birnbaum-Saunders regression models applied to environmental data |
2016 |
Stochastic Environmental Research And Risk Assessment |
30 |
1045-1058 |
| Leiva, V.; Liu, S.Z.; Shi, L.; Cysneiros, F.J.A. |
Diagnostics in elliptical regression models with stochastic restrictions applied to econometrics |
2016 |
Journal Of Applied Statistics |
43 |
627-642 |
| Leiva, V.; Marchant, C.; Ruggeri, F.; Saulo, H. |
A criterion for environmental assessment using Birnbaum-Saunders attribute control charts |
2015 |
Environmetrics |
26 |
463-476 |
| Leiva, V.; Ruggeri, F.; Saulo, H.; Vivanco, J.F. |
A methodology based on the Birnbaum-Saunders distribution for reliability analysis applied to nano-materials |
2017 |
Reliability Engineering & System Safety |
157 |
192-201 |
| Leiva, V.; Santos-Neto, M.; Cysneiros, F.J.A.; Barros, M. |
A methodology for stochastic inventory models based on a zero-adjusted Birnbaum-Saunders distribution |
2016 |
Applied Stochastic Models In Business And Industry |
32 |
74-89 |
| 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 |
| Lillo, C.; Leiva, V.; Nicolis, O.; Aykroyd, R.G. |
L-moments of the Birnbaum-Saunders distribution and its extreme value version: estimation, goodness of fit and application to earthquake data |
2018 |
Journal Of Applied Statistics |
45 |
187-209 |
| Liu, S.Z.; Leiva, V.; Ma, T.F.; Welsh, A. |
Influence diagnostic analysis in the possibly heteroskedastic linear model with exact restrictions |
2016 |
Statistical Methods And Applications |
25 |
227-249 |
| 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 |
| Rojas, F.; Leiva, V. |
Inventory management in food companies with statistically dependent demand |
2016 |
Academia-Revista Latinoamericana De Administracion |
29 |
450-485 |
| Sanchez, L.; Leiva, V.; Caro-Lopera, F.J.; Cysneiros, F.J.A. |
On matrix-variate Birnbaum-Saunders distributions and their estimation and application |
2015 |
Brazilian Journal Of Probability And Statistics |
29 |
790-812 |
