Tolerance Intervals in a Heteroscedastic Linear Regression Context with Applications to Aerospace Equipment Surveillance

Table 2

Power comparison of the tests using {𝑡_𝑖}^𝑛_𝑖=1 values from Data Set 1.

𝜌	Power of𝑅 Test	Ratio of Power Relative to 𝑅 Test
		LRT	BP	𝑊
0.00	0.100	0.94	0.91	0.92
0.01	0.155	0.97	0.67	0.67
0.02	0.206	0.97	0.62	0.64
0.03	0.278	1.00	0.63	0.65
0.04	0.344	0.96	0.66	0.60
0.05	0.392	0.99	0.68	0.62
0.06	0.443	1.02	0.68	0.67
0.07	0.492	1.01	0.72	0.67
0.08	0.541	1.01	0.72	0.68
0.09	0.584	1.01	0.77	0.71
0.10	0.624	1.02	0.77	0.70
0.11	0.663	1.02	0.77	0.73
0.12	0.701	1.01	0.80	0.73
0.13	0.719	1.02	0.80	0.73
0.14	0.741	1.03	0.82	0.76
0.15	0.763	1.01	0.84	0.77
0.16	0.783	1.02	0.84	0.78
0.17	0.809	1.01	0.85	0.78
0.18	0.830	1.01	0.86	0.80
0.19	0.830	1.02	0.88	0.82
0.20	0.843	1.02	0.87	0.84
0.21	0.861	1.01	0.88	0.83
0.22	0.869	1.01	0.88	0.84
0.23	0.875	1.02	0.90	0.84
0.24	0.884	1.02	0.90	0.85
0.25	0.900	1.02	0.90	0.85
0.30	0.923	1.01	0.93	0.89
0.35	0.943	1.00	0.94	0.92
0.40	0.949	1.01	0.96	0.93