9 citations · 13 across the 5 of their papers we have counts for
6 papers
Extending normality: A case of unit distribution generated from the moments of the standard normal distribution
Miguel S. Concha-Aracena, Leonardo Barrios-Blanco, David Elal-Olivero +2
This article presents an important theorem, which shows that from the moments of the standard normal distribution one can generate density functions originating a family of models.…
Generalizing the normality: a novel towards different estimation methods for skewed information
Diego C Nascimento, Pedro Luiz Ramos, David Elal-Olivero +2
Normality is the most often mathematical supposition used in data modeling. Nonetheless, even based on the law of large numbers (LLN), normality is a strong presumption given that…
Spatial Statistical Models: an overview under the Bayesian Approach
Francisco Louzada, Diego C. Nascimento, Osafu Augustine Egbon
Spatial documentation is exponentially increasing given the availability of Big IoT Data, enabled by the devices miniaturization and data storage capacity. Bayesian spatial statist…
A hemodynamic decomposition model for detecting cognitive load using functional near-infrared spectroscopy
Marco A. Pinto-Orellana, Diego C. Nascimento, Peyman Mirtaheri +3
In the current paper, we introduce a parametric data-driven model for functional near-infrared spectroscopy that decomposes a signal into a series of independent, rescaled, time-sh…
Reliability-centered maintenance: analyzing failure in harvest sugarcane machine using some generalizations of the Weibull distribution
Pedro Luiz Ramos, Diego Nascimento, Camila Cocolo +5
In this study we considered five generalizations of the standard Weibull distribution to describe the lifetime of two important components of harvest sugarcane machines. The harves…
The Long Term Fréchet distribution: Estimation, Properties and its Application
Pedro Luiz Ramos, Diego Nascimento, Francisco Louzada
In this paper a new long-term survival distribution is proposed. The so called long term Fréchet distribution allows us to fit data where a part of the population is not susceptibl…