Finite mixture model using skew Laplace distribution

In this paper, the finite mixture model via a skew Laplace distribution is introduced. We develop a computationally analytical EM-type algorithm for iteratively computing maximum likelihood estimates. To illustrate the performance of the model, we use a real data set which is used in the previous literatures of mixture model to show that the proposed model fits the data better than other competitors.