for different variation of sample sizes as $n=10$ (small), $n=20, 30$ (moderate), $n=50$ (large) for fixed $(\alpha=0.75, \beta=0.75)$ and secondly for different variation of $(\alpha, \beta)$ when sample size is fixed say $(n=20)$ respectively. Average estimates and mean square error (MSE) of the parameters and reliability characteristics are calculated for the above mentioned choices, and the corresponding results are reported in Table 2. The asymptotic confidence interval (ACI) and asymptotic confidence length (ACL) are also obtained and presented in Table 3. From this extensive simulation study, it has been observed that the precision of MLEs and Bayes estimator are increasing when the sample size is increasing while average ACL is decresing. Further, the Bayes estimators are more precise as compared ML estimators for all considered cases.

[ccccccccc]{}\
n & $\alpha, \beta$ & $\alpha_{ml}$& $\beta_{ml}$ & $MTTF_{ml}$ &$R (t)_{ml}$& $H(t)_{ml}$ & $\alpha_{bl}$ & $\beta_{bl}$\
\[0\][\*]{}[10]{} & \[0\][\*]{}[0.75,0.75]{} & 0.5070 & 1.1598 & 1.5119 & 0.9691 & 0.1663 & 0.5063 & 1.1028\
& & 0.0631 & 0.2588 & 0.0164 & 0.0049 & 0.0947 & 0.0631 & 0.2027\
\[0\][\*]{}[20]{} & & 0.6560 & 0.8848 & 1.4922 & 0.9343 & 0.2965 & 0.6521 & 0.8647\
& & 0.0098 & 0.0326 & 0.0093 & 0.0014 