Cer-Ufba
Risk Studies Center´s Research
Projects and research lines of the CER-UFBA.
SPC and Applications (CEP e Aplicações):
Proposal (and provision) of new tools for Statistical Process Control (SPC), notably control charts and capability indices, based on probability distributions introduced in recent literature, as well as unpublished statistical models developed by our team. The aim is to contribute to methodological, computational, and applied aspects in the context of CEP.
Sports Forecasting (Previsão Esportiva)
Predictions for major football championships, obtained from statistical models and machine learning, which take into account various factors such as home-field advantage, attacking and defensive strengths of each team in the championship, among others. Website: www.previsaoesportiva.com.br
Acepted articles
i) Boaventura, L.L.; Fiaccone, R.L.; Ferreira, P.H.. Prediction Control Charts: A New and Flexible Artificial Intelligence-Based Statistical Process Control Approach. Annals of Data Science. Published online: 12 August 2022. https://doi.org/10.1007/s40745-022-00441-5
2023
ii) Boaventura, L.L.; Ferreira, P.H.; Fiaccone, R.L.; Ramos, P.L.; Louzada, F.. New statistical process control charts for overdispersed count data based on the Bell distribution. Anais da Academia Brasileira de Ciências, v. 95, n. 2, p. 1-22, 2023. https://doi.org/10.1590/0001-3765202320200246
2022
iii) Sena, J.G.S.; Ferreira, P.H.; Fiaccone, R.L.. Statistical Process Control as a Tool to Control and Prevent Malaria Epidemics in the Legal Amazon Region. Brazilian Journal of Biometrics, v. 40, n. 1, p. 21-49, 2022. https://doi.org/10.28951/bjb.v40i1.538
iv) Jesus, B.D.; Ferreira, P.H.; Boaventura, L.L.; Fiaccone, R.L.; Bertoli, W.; Ramos, P.; Louzada, F.. Statistical process control of overdispersed count data based on one-parameter Poisson mixture models. Quality and Reliability Engineering International, v. 38, n. 5, p. 2324-2344, 2022. https://doi.org/10.1002/qre.3077
v) Boaventura, L.L.; Ferreira, P.H.; Fiaccone, R.L.. On Flexible Statistical Process Control with Artificial Intelligence: Classification Control Charts. Expert Systems with Applications, v. 194, p. 116492, 2022. https://doi.org/10.1016/j.eswa.2021.116492
vi) Ferreira, P.H.; Fonseca, A.; Nascimento, D.; Bonnail, E.; Louzada, F. Unraveling water monitoring association towards weather attributes for response proportions data: A unit-Lindley learning. PLoS ONE, v. 17, n. 10, p. e0275841, 2022. https://doi.org/10.1371/journal.pone.0275841
2021
vii) Fonseca, A.; Ferreira, P.H.; Nascimento, D.; Fiaccone, R.L.; Ulloa-Correa, C.; Garcia-Pina, A.; Louzada, F. Water particles monitoring in the Atacama Desert: SPC approach based on proportional data. Axioms, v. 10, 154, 2021. https://doi.org/10.3390/axioms10030154
viii) Blanco, L.B.; Ferreira, P.H.; Louzada, F.; Nascimento, D.C. Is Football/Soccer Purely Stochastic, Made Out of Luck, or Maybe Predictable? How Does Bayesian Reasoning Assess Sports? Axioms, v. 10, 276, 2021. https://doi.org/10.3390/axioms10040276
2020
ix) Santana, H.R.; Ferreira, P.H.; Ara, A.; Louzada, F.; Suzuki, A.K.. Modelagem Estatística e de Aprendizado de Máquina: Previsão do Campeonato Brasileiro Série A 2017. Matemática e Estatística em Foco, v. 7, n. 1, p. 42-66, 2020.
x) Louzada, F.; Ferreira, P.H.; Ara, A.; Godoy, C.. CEP Online: a web-oriented expert system for statistical process control. Pesquisa Operacional (Online), v. 39, n. 1, p. 177-204, 2019. https://doi.org/10.1590/0101-7438.2019.039.01.0177