In this work, we present a new distribution, which is a slash extension of the distribution of the sum of two independent Lindley random variables.This new distribution is developed using the slash methodology, resulting in a distribution usc trojans snapback hat with more flexible kurtosis, i.e., the ability to model atypical data.We study the density function of the new model and some of its properties, such as the car mackwell cumulative distribution function, moments, and its asymmetry and kurtosis coefficients.
The parameters are estimated by the maximum likelihood method with the EM algorithm.Finally, we apply the proposed model to two real datasets with high kurtosis, showing that it provides a better fit than two distributions known in the literature.