Table 2.

Results of Monte Carlo simulations $\alpha =2,\beta =1.5,c=2.5,k=2,\lambda =3$

Parameter	Sample size	ME	AVB	RMSE	AW	CP
$\beta$	n = 25	2.9043	28.2944	33.9312	398.123	0.97
	n = 80	2.8575	19.1266	26.1717	333.010	0.99
	n = 150	2.8018	14.6778	20.2345	271.750	0.99
	n = 400	2.2214	5.9548	18.6956	99.3318	0.99
	n = 800	2.0757	3.6372	10.4671	55.8275	1
	n = 1500	2.0091	2.3331	5.7627	28.5450	0.99
$\alpha$	n = 25	5.3867	3.3870	4.5350	18.6944	1
	n = 80	4.0405	2.0405	3.2464	10.4061	0.97
	n = 150	3.1945	1.1945	2.3676	7.1001	0.97
	n = 400	2.2856	0.2856	0.8372	2.9608	0.96
	n = 800	2.0716	0.0716	0.4053	1.8213	0.98
	n = 1500	2.0002	0.0002	0.2412	1.2770	0.98
$\lambda$	n = 25	4.8666	1.8660	2.5276	10.7823	0.77
	n = 80	4.7721	1.7721	2.4828	9.6358	0.78
	n = 150	4.4782	1.4783	2.2842	9.1945	0.95
	n = 400	3.8396	0.8396	1.5297	6.9524	0.95
	n = 800	3.5479	0.5479	1.0833	5.0864	0.97
	n = 1500	3.4106	0.4106	0.8283	3.5243	0.99
$k$	n = 25	4.0900	2.0900	8.7545	90.8129	0.98
	n = 80	4.6124	2.6123	7.9091	49.9287	0.97
	n = 150	4.5187	2.5187	7.5799	36.1367	0.86
	n = 400	2.8963	0.8963	2.8955	14.2318	0.99
	n = 800	2.5846	0.5846	1.6062	8.4314	0.99
	n = 1500	2.4372	0.4373	1.0703	5.5644	0.99
$c$	n = 25	6.2989	3.7989	7.0401	47.6068	0.99
	n = 80	5.5586	3.0586	6.0645	27.1930	0.99
	n = 150	4.7446	2.2446	5.2725	18.9548	0.99
	n = 400	3.2178	0.7178	1.9232	6.8753	1
	n = 800	2.8741	0.3741	0.9428	3.7113	1
	n = 1500	2.7351	0.2351	0.5228	2.3270	0.99