[Retracted] Statistical Inferences of Burr XII Lifetime Models under Joint Type-1 Competing Risks Samples

Table 6

The MILs and CPs of ML, boot, and Bayes methods under .

MIL	CP	MIL	CP	MIL	CP	MIL	CP	MIL	CP	MIL	CP
(0.2, 30, 30)		4.142	0.85	3.211	0.87	3.512	0.88	4.215	0.89	5.413	0.88	5.124	0.88
		4.314	0.88	3.415	0.88	3.688	0.89	4.389	0.89	5.598	0.89	5.311	0.88
		4.101	0.89	3.178	0.89	3.481	0.90	4.182	0.90	5.389	0.89	5.047	0.90
		3.245	0.91	3.001	0.90	3.214	0.91	4.007	0.90	5.217	0.90	4.874	0.91
(0.2, 50, 30)		3.850	0.90	2.901	0.89	3.012	0.90	3.841	0.90	5.211	0.90	5.109	0.90
		3.950	0.90	3.080	0.90	3.130	0.90	4.007	0.89	5.417	0.89	5.214	0.89
		3.811	0.91	2.920	0.90	3.011	0.92	3.700	0.92	5.198	0.89	5.001	0.90
		3.124	0.93	2.710	0.91	2.910	0.96	3.507	0.94	4.987	0.92	4.780	0.94
(0.2, 40, 60)		3.899	0.89	2.725	0.89	3.025	0.90	3.871	0.91	5.003	0.90	4.952	0.91
		3.981	0.90	2.895	0.91	3.142	0.91	4.019	0.89	5.274	0.92	5.001	0.91
		3.861	0.92	2.701	0.90	3.019	0.92	3.722	0.90	5.000	0.91	4.890	0.92
		3.190	0.91	2.503	0.93	2.927	0.90	3.531	0.91	4.711	0.93	4.520	0.91
(0.2, 80, 80)		3.601	0.90	2.610	0.91	2.911	0.91	3.590	0.91	4.802	0.91	4.815	0.91
		3.690	0.92	2.781	0.94	3.000	0.93	3.811	0.90	5.003	0.92	5.912	0.91
		3.570	0.92	2.590	0.90	2.890	0.90	3.530	0.92	4.779	0.90	4.715	0.91
		2.854	0.93	2.401	0.94	2.711	0.94	3.224	0.93	4.490	0.92	4.412	0.95
(0.8, 30, 30)		3.654	0.89	2.680	0.90	2.978	0.91	3.610	0.89	4.875	0.90	4.864	0.90
		3.697	0.90	2.775	0.90	3.069	0.90	3.882	0.90	5.069	0.92	5.949	0.90
		3.630	0.90	2.640	0.91	2.945	0.90	3.591	0.90	4.819	0.92	4.760	0.93
		2.915	0.90	2.501	0.92	2.774	0.91	3.305	0.92	4.500	0.92	4.445	0.92
(0.8, 50, 30)		3.418	0.91	2.671	0.90	2.760	0.91	3.401	0.91	4.879	0.89	4.871	0.90
		3.498	0.90	2.754	0.93	2.879	0.93	3.670	0.92	5.085	0.91	5.939	0.90
		3.401	0.91	2.621	0.91	2.847	0.92	3.402	0.94	4.804	0.91	4.748	0.91
		2.721	0.92	2.491	0.90	2.576	0.94	3.115	0.94	4.503	0.94	4.445	0.93
(0.8, 40, 60)		3.441	0.89	2.451	0.91	2.772	0.91	3.424	0.90	4.610	0.96	4.623	0.90
		3.514	0.90	2.524	0.97	2.881	0.90	3.679	0.91	4.850	0.92	5.790	0.91
		3.422	0.92	2.405	0.92	2.842	0.91	3.414	0.90	4.579	0.94	4.624	0.91
		2.738	0.92	2.213	0.92	2.495	0.92	3.008	0.91	4.280	0.95	4.215	0.94
(0.8, 80, 80)		3.150	0.93	2.178	0.92	2.684	0.92	3.314	0.92	4.390	0.90	4.398	0.93
		3.241	0.92	2.290	0.90	2.701	0.92	3.450	0.91	4.512	0.93	5.588	0.90
		3.110	0.93	2.154	0.94	2.629	0.92	3.375	0.93	4.370	0.94	4.401	0.93
		2.415	0.95	2.001	0.95	2.478	0.95	3.000	0.93	4.003	0.93	4.005	0.96