Mixture of Akash Distributions: Estimation, Simulation and Application

In this paper, we propose a two-component mixture of Akash model (TC-MAM). The behavior TC-MAM distribution has been presented graphically. Moment-based measures, including skewness, index dispersion, kurtosis, and coefficient variation, have determined hazard rate functions are probability generating function, Mills ratio, characteristic cumulants, mean time to failure, factorial moment function all statistical aspects the mixed that explore. Furthermore, figure out relevant parameters using most suitable methods, such as least square, weighted maximum likelihood mechanisms. Findings simulation experiments examine these estimates graphically presented. Finally, set data taken from real world is examined in order demonstrate new model’s practical perspectives. All metrics evaluated favor superiority proposed over Lindley, Shanker, exponential distributions.