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

Table 8

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

MIL	CP	MIL	CP	MIL	CP	MIL	CP	MIL	CP	MIL	CP
(0.1, 30, 30)		2.514	0.88	4.521	0.89	5.985	0.87	3.985	0.90	5.234	0.90	2.451	0.90
		2.674	0.89	4.654	0.89	6.124	0.89	4.231	0.89	5.385	0.90	2.562	0.91
		2.485	0.90	4.492	0.90	5.941	0.89	3.937	0.90	5.201	0.90	2.414	0.90
		2.350	0.90	4.320	0.91	5.752	0.91	3.813	0.90	5.025	0.90	2.285	0.91
(0.1, 50, 30)		2.465	0.90	4.472	0.90	5.944	0.90	3.941	0.90	5.192	0.91	2.400	0.90
		2.627	0.91	4.601	0.89	6.051	0.91	4.188	0.90	5.341	0.90	2.523	0.90
		2.441	0.90	4.451	0.91	5.900	0.91	3.900	0.92	5.154	0.91	2.366	0.94
		2.304	0.93	4.275	0.92	5.707	0.92	3.762	0.92	4.955	0.93	2.241	0.92
(0.1, 40, 60)		2.454	0.90	4.439	0.90	5.936	0.90	3.939	0.90	5.155	0.91	2.360	0.92
		2.631	0.89	4.569	0.92	6.061	0.91	4.175	0.92	5.311	0.93	2.481	0.91
		2.447	0.90	4.418	0.91	5.903	0.92	3.909	0.90	5.119	0.91	2.328	0.93
		2.314	0.90	4.245	0.94	5.715	0.91	3.769	0.93	4.921	0.94	2.207	0.96
(0.1, 80, 80)		2.407	0.90	4.401	0.92	5.902	0.91	3.903	0.92	5.111	0.94	2.360	0.92
		2.582	0.92	4.515	0.93	6.024	0.92	4.132	0.92	5.271	0.93	2.481	0.90
		2.400	0.94	4.375	0.91	5.871	0.92	3.861	0.92	5.062	0.93	2.328	0.94
		2.267	0.95	4.208	0.96	5.674	0.94	3.715	0.94	4.874	0.94	2.187	0.95
(0.5, 30, 30)		2.485	0.89	4.502	0.89	5.955	0.89	3.961	0.91	5.205	0.91	2.436	0.92
		2.641	0.90	4.635	0.89	6.101	0.89	4.209	0.90	5.344	0.91	2.544	0.91
		2.449	0.90	4.474	0.91	5.915	0.90	3.915	0.90	5.145	0.90	2.400	0.92
		2.324	0.90	4.301	0.91	5.727	0.91	3.800	0.91	5.000	0.92	2.271	0.91
(0.5, 50, 30)		2.441	0.91	4.456	0.90	5.919	0.90	3.918	0.92	5.151	0.91	2.378	0.90
		2.600	0.91	4.580	0.90	6.024	0.92	4.161	0.92	5.302	0.92	2.502	0.92
		2.415	0.91	4.433	0.91	5.875	0.91	3.882	0.92	5.115	0.91	2.341	0.92
		2.274	0.93	4.257	0.93	5.691	0.92	3.744	0.92	4.912	0.92	2.221	0.92
(0.5, 40, 60)		2.427	0.91	4.418	0.90	5.914	0.92	3.925	0.92	5.114	0.91	2.339	0.92
		2.607	0.90	4.550	0.92	6.032	0.91	4.151	0.92	5.311	0.93	2.460	0.94
		2.421	0.90	4.401	0.91	5.274	0.93	3.892	0.90	5.066	0.92	2.309	0.93
		2.288	0.92	4.227	0.93	5.894	0.91	3.751	0.93	4.869	0.94	2.191	0.96
(0.5, 80, 80)		2.381	0.93	4.384	0.92	5.877	0.92	3.877	0.93	5.070	0.92	2.339	0.92
		2.555	0.92	4.500	0.92	5.982	0.94	4.114	0.92	5.239	0.93	2.455	0.94
		2.274	0.92	4.362	0.91	5.850	0.92	3.851	0.92	5.030	0.95	2.307	0.94
		2.231	0.95	4.189	0.94	5.644	0.95	3.703	0.92	4.835	0.94	2.179	0.94