Helton Saulo
Helton Saulo
Assistant Professor of Statistics, University of Brasilia
Verified email at - Homepage
Cited by
Cited by
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
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
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, 1479-1491, 2013
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
Birnbaum–Saunders autoregressive conditional duration models applied to high-frequency financial data
H Saulo, J Leão, V Leiva, RG Aykroyd
Statistical Papers 60, 1605-1629, 2019
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
Incorporation of frailties into a cure rate regression model and its diagnostics and application to melanoma data
J Leão, V Leiva, H Saulo, V Tomazella
Statistics in medicine 37 (29), 4421-4440, 2018
Birnbaum‐Saunders quantile regression and its diagnostics with application to economic data
L Sánchez, V Leiva, M Galea, H Saulo
Applied Stochastic Models in Business and Industry 37 (1), 53-73, 2021
The kumaraswamy birnbaum-saunders distribution
H Saulo, J Leão, M Bourguignon
Journal of Statistical Theory and Practice 6, 745-759, 2012
On some properties of the beta inverse Rayleigh distribution
J Leao, H Saulo, M Bourguignon, RJ Cintra, LC Rego, GM Cordeiro
arXiv preprint arXiv:2206.01229, 2022
Birnbaum–Saunders frailty regression models: Diagnostics and application to medical data
J Leão, V Leiva, H Saulo, V Tomazella
Biometrical Journal 59 (2), 291-314, 2017
Fiscal and monetary policy interactions: a game theory approach
H Saulo, LC Rêgo, JA Divino
Annals of Operations Research 206, 341-366, 2013
Birnbaum-Saunders quantile regression models with application to spatial data
L Sánchez, V Leiva, M Galea, H Saulo
Mathematics 8 (6), 1000, 2020
Log‐symmetric regression models: information criteria and application to movie business and industry data with economic implications
M Ventura, H Saulo, V Leiva, S Monsueto
Applied Stochastic Models in Business and Industry 35 (4), 963-977, 2019
A new Pareto-type distribution with applications in reliability and income data
M Bourguignon, H Saulo, RN Fernandez
Physica A: Statistical Mechanics and its Applications 457, 166-175, 2016
Log‐symmetric quantile regression models
H Saulo, A Dasilva, V Leiva, L Sánchez, H de la Fuente‐Mella
Statistica Neerlandica 76 (2), 124-163, 2022
A new BISARMA time series model for forecasting mortality using weather and particulate matter data
V Leiva, H Saulo, R Souza, RG Aykroyd, R Vila
Journal of Forecasting 40 (2), 346-364, 2021
On a tobit–Birnbaum–Saunders model with an application to medical data
MF Desousa, H Saulo, V Leiva, P Scalco
Journal of Applied Statistics 45 (5), 932-955, 2018
A survival model with Birnbaum–Saunders frailty for uncensored and censored cancer data
J Leão, V Leiva, H Saulo, V Tomazella
A methodology based on the Birnbaum–Saunders distribution for reliability analysis applied to nano-materials
V Leiva, F Ruggeri, H Saulo, JF Vivanco
Reliability Engineering & System Safety 157, 192-201, 2017
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