From: Bivariate general exponential models with stress-strength reliability application
N | Case 3, R = 0.625 | Case 4, R = 0.8000 | ||||||
---|---|---|---|---|---|---|---|---|
10 | 20 | 30 | 50 | 10 | 20 | 30 | 50 | |
R(M) | 0.5946 | 0.6172 | 0.6246 | 0.6231 | 0.7494 | 0.7875 | 0.7952 | 0.7988 |
R(S) | 0.5881 | 0.6114 | 0.6200 | 0.6202 | 0.7607 | 0.7888 | 0.7957 | 0.7982 |
R(N) | 0.5908 | 0.6211 | 0.6264 | 0.6258 | 0.6986 | 0.7790 | 0.7914 | 0.7994 |
MSE(M) | 0.0135 | 0.0061 | 0.0041 | 0.0025 | 0.0097 | 0.0028 | 0.0017 | 0.0010 |
MSE(S) | 0.0193 | 0.0087 | 0.0061 | 0.0033 | 0.0106 | 0.0034 | 0.0020 | 0.0012 |
MSE(N) | 0.0197 | 0.0105 | 0.0065 | 0.0049 | 0.0202 | 0.0061 | 0.0047 | 0.0031 |
b(M) | 0.0304 | 0.0078 | 0.0004 | 0.0019 | 0.0506 | 0.0125 | 0.0048 | 0.0012 |
b(S) | 0.0369 | 0.0136 | 0.0050 | 0.0048 | 0.0393 | 0.0112 | 0.0043 | 0.0018 |
b(N) | 0.0342 | 0.0039 | − .0014 | − 0.0008 | 0.1014 | 0.0210 | 0.0086 | 0.0006 |