Table 3. AE and MSE of the MLEs and Bayes estimators for different values of n with $\alpha =1.0,{\lambda }_1=1,{\lambda }_2=1,{\lambda }_3=1$.

		MLE		Bayes (IP)		Bayes (NIP)
n	Parameter	AE	MSE	AE	MSE	AE	MSE
n=20	α	1.060	0.024	1.030	0.021	1.030	0.021
	${\lambda }_1$	1.162	0.496	0.968	0.098	0.925	0.124
	${\lambda }_2$	1.159	0.481	0.946	0.082	0.905	0.111
	${\lambda }_3$	0.957	0.616	1.168	0.096	1.237	0.156
n=30	α	1.039	0.015	1.016	0.012	1.023	0.013
	${\lambda }_1$	1.095	0.333	0.929	0.064	0.894	0.077
	${\lambda }_2$	1.089	0.313	0.929	0.055	0.888	0.080
	${\lambda }_3$	0.998	0.503	1.166	0.076	1.239	0.126
n=40	α	1.026	0.010	1.009	0.008	0.999	0.009
	${\lambda }_1$	1.102	0.246	0.879	0.055	0.890	0.057
	${\lambda }_2$	1.076	0.225	0.856	0.058	0.877	0.064
	${\lambda }_3$	0.953	0.356	1.218	0.095	1.241	0.105
n=80	α	1.014	0.006	0.997	0.004	1.000	0.004
	${\lambda }_1$	1.043	0.138	0.890	0.031	0.878	0.035
	${\lambda }_2$	1.043	0.133	0.886	0.032	0.877	0.036
	${\lambda }_3$	0.968	0.224	1.172	0.051	1.206	0.065