A New More Flexible Class of Distributions on (0,1): Properties and Applications to Univariate Data and Quantile Regression

In this paper, we will present a new, more flexible class of distributions with domain in the interval (0,1), which presents heavier tails than other same domain, such as Beta, Kumaraswamy, and Weibull Unitary distributions. This new distribution is obtained transformation two independent random variables distribution, call Generalized distribution. Considering particular case, obtain an alternative to We parameters type 2 unitary The probability density function, cumulative survival hazard rate, some important properties that allow us infer are provided. carry out simulation study using maximum likelihood method analyze behavior parameter estimates. By way illustration, real data be used show flexibility by comparing it known literature. Finally, quantile regression application, where shown how proposed fits better competing for application.