generalized dirichlet distributions family

Advances and the spread of science in various fields have made old statisticalmodels obsolete to new problems. for this reason, new models have been introducedthat include classic distributions and offer more flexibility.this article introduces the generalized dirichlet distribution or gdg. some distributionslike beta, generalized beta, covarswami and exponential distributions can begenerated. in this article, we intend to present a new family of generalized distributionsproduced by dirichlet. in the family, we examine the estimation of the parameters for agiven case, and then examine these estimates using numerical monte carlo simulationmethods. the monte carlo method, in general, is a numerical estimation simulationalgorithm that attempts to calculate the results by random sampling from one or alimited number. number of available answers. this technique is often used in systemsimulations.