In survival analysis is studied the time until the occurrence of a particular event of interest and in the literature, the most common approach is parametric, where the data follow a specific probability distribution. ...

Models involving the Kumaraswamy distribution have been a very studied in the past years in the analysis and modeling of bounded continuos variables. In this paper we focus on one in particular: the Trapezoidal Kumaraswamy ...

Neste trabalho, foi proposto um novo pacote em linguaguem R (denominado KGsurv) utilizando algoritmos implementados no software Stan, para modelar novos modelos baseados na família de distribuições Kumaraswamy-G. Nós ...

In this paper, we introduce a new bivariate Kumaraswamy exponential distribution, whose marginals are univariate Kumaraswamy exponential. Some probabilistic properties of this bivariate distribution are derived, such as ...

The Gumbel distribution is perhaps the most widely applied statistical distribution for problems in engineering. We propose a generalization-referred to as the Kumaraswamy Gumbel distribution-and provide a comprehensive ...

For the first time, we introduce and study some mathematical properties of the Kumaraswamy Weibull distribution that is a quite flexible model in analyzing positive data. It contains as special sub-models the exponentiated ...

n the year 1980 Poondi Kumaraswamy proposed the Kuamaraswamy distribution, which is very similar to the beta distribution (it is also restricted to the interval (0,1)), but it has a great advantage over it, which is to ...

Kumaraswamy [Generalized probability density-function for double-bounded random-processes, J. Hydrol. 462 (1980), pp. 79-88] introduced a distribution for double-bounded random processes with hydrological applications. For ...