9 citations · 17 across the 7 of their papers we have counts for
19 papers
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…
Power laws in the Roman Empire: a survival analysis
Pedro L. Ramos, Luciano da F. Costa, Francisco Louzada +1
The Roman Empire shaped Western civilization, and many Roman principles are embodied in modern institutions. Although its political institutions proved both resilient and adaptable…
Incorporation of frailties into a non-proportional hazard regression model and its diagnostics for reliability modeling of downhole safety valves
Francisco Louzada, José A. Cuminato, Oscar M. H. Rodriguez +13
In this paper, our proposal consists of incorporating frailty into a statistical methodology for modeling time-to-event data, based on non-proportional hazards regression model. Sp…
Posterior properties of the Weibull distribution for censored data
Eduardo Ramos, Pedro L. Ramos
The Weibull distribution is one of the most used tools in reliability analysis. In this paper, assuming a Bayesian approach, we propose necessary and sufficient conditions to verif…
Power laws distributions in objective priors
Pedro L. Ramos, Francisco A. Rodrigues, Eduardo Ramos +2
The use of objective prior in Bayesian applications has become a common practice to analyze data without subjective information. Formal rules usually obtain these priors distributi…