Estimation the parameters of Odd Generalized Exponential-Gompertez distribution

Abeer S.Mohamed, Amira A. Elghany

In this paper, an odd generalized exponential-Gompertz (OGE-G) distribution which is capable of life tables to calculate death rates (failure) are considered. Based on simulated data from the OGE-G distribution, the problem of estimation of parameters under classical and Bayesian approaches are calculated. In this regard, the maximum likelihood estimates, and Bayes estimates under squared error loss function are obtained.  Also 95% asymptotic confidence interval and highest posterior density interval estimates are calculated. The Monte Carlo simulation will be conduct to study and compare the performance of the various proposed estimators.