The article explores a new statistical distribution called the generalized beta-exponential Weibull distribution. It combines different shapes of density and hazard functions from existing distributions like beta-Weibull and exponentiated-exponential. The researchers derived various properties of the distribution, such as moments and quantile function, and developed methods to estimate its parameters. They applied the distribution to real data sets and found that it provided a better fit compared to other distributions.