Camilo Lillo
Camilo Lillo
BHP Billiton
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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 (3), 1045-1058, 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
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
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
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
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
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
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
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