An Extension of the Akash Distribution: Properties, Inference and Application
Resumen
In this article we introduce an extension of the Akash distribution. We use the slash methodology
to make the kurtosis of the Akash distribution more flexible. We study the general probability
density function of this new model, some properties, moments, skewness and kurtosis coefficients.
Statistical inference is performed using the methods of moments and maximum likelihood via the
EM algorithm. A simulation study is carried out to observe the behavior of the maximum likelihood
estimator. An application to a real data set with high kurtosis is considered, where it is shown that
the new distribution fits better than other extensions of the Akash distribution.
