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Carolina Marchant Fuentes
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Year
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
882014
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
792013
A nonparametric method for estimating asymmetric densities based on skewed Birnbaum–Saunders distributions applied to environmental data
H Saulo, V Leiva, FA Ziegelmann, C Marchant
Stochastic Environmental Research and Risk Assessment 27 (6), 1479-1491, 2013
702013
A family of autoregressive conditional duration models applied to financial data
V Leiva, H Saulo, J Leão, C Marchant
Computational Statistics & Data Analysis 79, 175-191, 2014
592014
Modeling wind energy flux by a Birnbaum–Saunders distribution with an unknown shift parameter
V Leiva, E Athayde, C Azevedo, C Marchant
Journal of Applied Statistics 38 (12), 2819-2838, 2011
592011
Diagnostics in multivariate generalized Birnbaum-Saunders regression models
C Marchant, V Leiva, FJA Cysneiros, JF Vivanco
Journal of Applied Statistics 43 (15), 2829-2849, 2016
572016
Air contaminant statistical distributions with application to PM10 in Santiago, Chile
C Marchant, V Leiva, MF Cavieres, A Sanhueza
Reviews of Environmental Contamination and Toxicology Volume 223, 1-31, 2013
552013
A criterion for environmental assessment using Birnbaum–Saunders attribute control charts
V Leiva, C Marchant, F Ruggeri, H Saulo
Environmetrics 26 (7), 463-476, 2015
522015
A multivariate log-linear model for Birnbaum-Saunders distributions
C Marchant, V Leiva, FJA Cysneiros
IEEE Transactions on Reliability 65 (2), 816-827, 2016
502016
Robust multivariate control charts based on Birnbaum–Saunders distributions
C Marchant, V Leiva, FJA Cysneiros, S Liu
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 88, 182–202, 2018
472018
Fatigue Statistical Distributions Useful for Modeling Diameter andMortality of Trees
V Leiva, MG Ponce, C Marchant, O Bustos
Revista Colombiana de Estadística 35 (3), 349-370, 2012
352012
Monitoring urban environmental pollution by bivariate control charts: New methodology and case study in Santiago, Chile
C Marchant, V Leiva, G Christakos, MF Cavieres
Environmetrics 30 (5), e2551, 2019
332019
Optimization of contribution margins in food services by modeling independent component demand
F Rojas, V Leiva, P Wanke, C Marchant
Revista Colombiana de Estadística 38 (1), 1-30, 2015
312015
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
242021
Multivariate birnbaum-saunders distributions: Modelling and applications
RG Aykroyd, V Leiva, C Marchant
Risks 6 (1), 21, 2018
192018
A Methodology for Data-Driven Decision-Making in the Monitoring of Particulate Matter Environmental Contamination in Santiago of Chile
MF Cavieres, V Leiva, C Marchant, F Rojas
Reviews of Environmental Contamination and Toxicology Volume 250, 45-67, 2020
122020
A Cobb–Douglas type model with stochastic restrictions: formulation, local influence diagnostics and data analytics in economics
FJA Cysneiros, V Leiva, S Liu, C Marchant, P Scalco
Quality & Quantity 53 (4), 1693-1719, 2019
122019
A family of skew-normal distributions for modeling proportions and rates with zeros/ones excess
G Martínez-Flórez, V Leiva, E Gómez-Déniz, C Marchant
Symmetry 12 (9), 1439, 2020
102020
Predicting PM2. 5 and PM10 levels during critical episodes management in Santiago, Chile, with a bivariate Birnbaum-Saunders log-linear model
R Puentes, C Marchant, V Leiva, JI Figueroa-Zúñiga, F Ruggeri
Mathematics 9 (6), 645, 2021
92021
Discussion of “Birnbaum‐Saunders distribution: A review of models, analysis, and applications” and a novel multivariate data analytics for an economics example in the textile …
V Leiva, RG Aykroyd, C Marchant
Applied Stochastic Models in Business and Industry 35 (1), 112-117, 2019
72019
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