Generalized Dirichlet Distributions Family

Advances and the spread of science in various fields have made old statistical models obsolete to new problems. For this reason, new models have been introduced that include classic distributions and offer more flexibility. This article introduces the generalized Dirichlet distribution or GDG. Some distributions like beta, Generalized beta, Covarswami and Exponential distributions can be generated. In this article, we intend to present a new family of generalized distributions produced by Dirichlet. In the family, we examine the estimation of the parameters for a given case, and then examine these estimates using numerical Monte Carlo simulation methods. The Monte Carlo method, in general, is a numerical estimation simulation algorithm that attempts to calculate the results by random sampling from one or a limited number. Number of available answers. This technique is often used in system simulations.