OICC Press International Journal of Mathematical Modelling & Computations 2228-6233 2026 05 21 Monte Carlo Performance Evaluation of Maximum Likelihood Estimators for the Bivariate Exponentiated Generalized Weibull-Gompertz Power Series (BEGWGPS) Distribution 10.57647/ijm2c.2026.1604.25 EN Kianoush Fathi Vajargah Department of Statistics, NT.C., Islamic Azad University, Tehran, Iran https://orcid.org/0000-0002-1228-3656 Elham Masharpour Department of Statistics, NT.C., Islamic Azad University, Tehran, Iran Parvin Azhdari Department of Statistics, NT.C., Islamic Azad University, Tehran, Iran Journal Article 2026 05 21 Simulations affects our life every day through our interactions and the use of various simulation method has become widespread in elds of science. Among the various simulation, the monte carlo simulation is type of simulation that relies on repeated random sampling and statistical analysis to compute the result. This article attempts to introduce this method for simulating New Bivariate Generalized Exponential Weibull Gomperts Power Series parameters in order to show the flexibility and potentiality of the new class of distribution.