Paulo H. Ferreira

Orcid: 0000-0001-6312-6098

Affiliations:
  • Federal University of Bahia, Salvador, Brazil


According to our database1, Paulo H. Ferreira authored at least 14 papers between 2012 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2022
Reliability assessment of repairable systems with series-parallel structure subjected to hierarchical competing risks under minimal repair regime.
Reliab. Eng. Syst. Saf., 2022

Statistical modeling and reliability analysis of multiple repairable systems with dependent failure times under perfect repair.
Reliab. Eng. Syst. Saf., 2022

Statistical process control of overdispersed count data based on one-parameter Poisson mixture models.
Qual. Reliab. Eng. Int., 2022

On flexible Statistical Process Control with Artificial Intelligence: Classification control charts.
Expert Syst. Appl., 2022

The Lehmann type II inverse Weibull distribution in the presence of censored data.
Commun. Stat. Simul. Comput., 2022

Extending Normality: A Case of Unit Distribution Generated from the Moments of the Standard Normal Distribution.
Axioms, 2022

2021
Inverse Gaussian process model with frailty term in reliability analysis.
Qual. Reliab. Eng. Int., 2021

Water Particles Monitoring in the Atacama Desert: SPC Approach Based on Proportional Data.
Axioms, 2021

Is Football/Soccer Purely Stochastic, Made Out of Luck, or Maybe Predictable? How Does Bayesian Reasoning Assess Sports?
Axioms, 2021

2020
Exponential-Poisson distribution: estimation and applications to rainfall and aircraft data with zero occurrence.
Commun. Stat. Simul. Comput., 2020

Incorporation of Frailties Into a Non-Proportional Hazard Regression Model and Its Diagnostics for Reliability Modeling of Downhole Safety Valves.
IEEE Access, 2020

2019
Maximum likelihood estimation for bivariate SUR Tobit modeling in presence of two right-censored dependent variables.
Commun. Stat. Simul. Comput., 2019

A Repairable System Subjected to Hierarchical Competing Risks: Modeling and Applications.
IEEE Access, 2019

2012
On the impact of disproportional samples in credit scoring models: An application to a Brazilian bank data.
Expert Syst. Appl., 2012


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