The Kumaraswamy Log Composite Distribution Based on the Median: Inference and Applications
Abstract
In this paper a new univariate distribution with bounded support on the Kumaraswamy distribution is defined. Some of its main properties are studied, and a Monte Carlo simulation is implemented to evaluate the behavior of the maximum likelihood estimators. Two applications to real data sets are presented. In particular goodness of fit and quantile regression are show in order to illustrate the potential and flexibility of this new distribution.