Author |
Title |
Year |
Publication |
Volume |
Pages |
Barrera, J.; Homem-De-Mello, T.; Moreno, E.; Pagnoncelli, B.K.; Canessa, G. |
Chance-constrained problems and rare events: an importance sampling approach |
2016 |
Mathematical Programming |
157 |
153-189 |
Beltran, J.F.; Nunez, E.; Nunez, F.; Silva, I.; Bravo, T.; Moffat, R. |
Static response of asymmetrically damaged metallic strands: Experimental and numerical approach |
2018 |
Construction And Building Materials |
192 |
538-554 |
Bustos, C.; Herrera, C.G.; Celentano, D.; Chen, D.M.; Cruchaga, M. |
Numerical Simulation and Experimental Validation of the Inflation Test of Latex Balloons |
2016 |
Latin American Journal Of Solids And Structures |
13 |
2357-2378 |
Castaneda, P.; Reus, L. |
Suboptimal investment behavior and welfare costs: A simulation based approach |
2019 |
Finance Research Letters |
30 |
170-180 |
Cortes, C.E.; Jara-Moroni, P.; Moreno, E.; Pineda, C. |
Stochastic transit equilibrium |
2013 |
Transportation Research Part B-Methodological |
51 |
29-44 |
During, G.; Josserand, C.; Rica, S. |
Wave turbulence theory of elastic plates |
2017 |
Physica D-Nonlinear Phenomena |
347 |
42-73 |
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 |
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 |
Girard, A.; Gago, E.J.; Muneer, T.; Caceres, G. |
Higher ground source heat pump COP in a residential building through the use of solar thermal collectors |
2015 |
Renewable Energy |
80 |
26-39 |
Girard, A.; Muneer, T.; Caceres, G. |
A validated design simulation tool for passive solar space heating: Results from a monitored house in West Lothian, Scotland |
2014 |
Indoor And Built Environment |
23 |
353-372 |
Lagos, R.; Canessa, E.; Chaigneau, S.E. |
Modeling stereotypes and negative self-stereotypes as a function of interactions among groups with power asymmetries |
2019 |
Journal For The Theory Of Social Behaviour |
49 |
312-333 |
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.; Marchant, C.; Ruggeri, F.; Saulo, H. |
A criterion for environmental assessment using Birnbaum-Saunders attribute control charts |
2015 |
Environmetrics |
26 |
463-476 |
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 |
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 |
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 |
Parrado, C.; Caceres, G.; Bize, F.; Bubnovich, V.; Baeyens, J.; Degreve, J.; Zhang, H.L. |
Thermo-mechanical analysis of copper-encapsulated NaNO3-KNO3 |
2015 |
Chemical Engineering Research & Design |
93 |
224-231 |
Rosado-Tamariz, E.; Genco, F.; Campos-Amezcua, A.; Markou, G.; Batres, R. |
Enhanced dynamic simulation approach towards the efficient mining thermal energy supply with improved operational flexibility |
2021 |
International Journal Of Energy Research |
Early Access |
20 pp |
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 |