Inference on the Parameters of Zubair-Exponential Distribution with Application to Survival Times of Guinea Pigs

In this paper, we derived a sub-model of Zubair-G familiy distribution named Zubair-Exponential with two parameters. Simulation the Estimates parameters based on some classical methods are obtained. The likelihood equations and maximum estimator as well asymptotic confidence interval derived. Bayes estimates associated greatest posterior density credible using squared error Loss (SEL), Linear-Exponential (LINEX) Generalized Entropy (GEL) functions. Using Metropolis-Hasting algorithm method Markov Chain Monte Carlo (MCMC), summarized. To determine performance estimates, simulation study is carried out their standard errors measures fitness real data survival times Guinea pigs proposed has better fit Akaike Information criterion (AIC) Bayesian (BIC).