9 citations · 9 across the 4 of their papers we have counts for
7 papers
The Frechet distribution: Estimation and Application an Overview
Pedro Luiz Ramos, Francisco Louzada, Eduardo Ramos +1
In this article, we consider the problem of estimating the parameters of the Fréchet distribution from both frequentist and Bayesian points of view. First we briefly describe diffe…
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 Inverse Weighted Lindley Distribution: Properties, Estimation and an Application on a Failure Time Data
Pedro L. Ramos, Francisco Louzada, Taciana K. O. Shimizu +1
In this paper a new distribution is proposed. This new model provides more flexibility to modeling data with upside-down bathtub hazard rate function. A significant account of math…
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…
Some Computational Aspects to Find Accurate Estimates for the Parameters of the Generalized Gamma distribution
Jorge Alberto Achcar, Pedro Luiz Ramos, Edson Zangiacomi Martinez
In this paper, we discuss computational aspects to obtain accurate inferences for the parameters of the generalized gamma (GG) distribution. Usually, the solution of the maximum li…
Objective Bayesian Analysis for the Lomax Distribution
Paulo Ferreira, Jhon Gonzales, Vera Tomazella +3
In this paper we propose to make Bayesian inferences for the parameters of the Lomax distribution using non-informative priors, namely the Jeffreys prior and the reference prior. W…