Research Article
A New Useful Exponential Model with Applications to Quality Control and Actuarial Data
Table 6
Biases, MSEs, CPs, and AWs for different scenarios.
| Scenario I | Scenario II | Scenario III | n | | | | n | | | | n | | | |
| Biases | 25 | 0.282 | 0.050 | 0.152 | 25 | 0.006 | 0.063 | 0.176 | 25 | 0.162 | 0.067 | 0.375 | 50 | 0.098 | 0.028 | 0.105 | 50 | 0.002 | 0.038 | 0.112 | 50 | 0.038 | 0.048 | 0.289 | 100 | 0.046 | 0.015 | 0.050 | 100 | 0.010 | 0.017 | 0.042 | 100 | ā0.007 | 0.031 | 0.196 | 500 | 0.028 | 0.005 | 0.009 | 500 | 0.001 | 0.000 | -0.009 | 500 | 0.008 | 0.007 | 0.043 | MSE | 25 | 1.398 | 0.010 | 0.162 | 25 | 0.007 | 0.023 | 0.198 | 25 | 0.669 | 0.009 | 0.258 | 50 | 0.584 | 0.005 | 0.122 | 50 | 0.004 | 0.012 | 0.145 | 50 | 0.204 | 0.005 | 0.169 | 100 | 0.262 | 0.002 | 0.073 | 100 | 0.001 | 0.006 | 0.094 | 100 | 0.001 | 0.006 | 0.094 | 500 | 0.055 | 0.001 | 0.021 | 500 | 0.000 | 0.001 | 0.029 | 500 | 0.000 | 0.001 | 0.029 | CPs | 25 | 0.968 | 0.955 | 0.982 | 25 | 0.972 | 0.963 | 0.959 | 25 | 0.957 | 0.938 | 0.930 | 50 | 0.965 | 0.960 | 0.980 | 50 | 0.976 | 0.957 | 0.971 | 50 | 0.925 | 0.927 | 0.904 | 100 | 0.955 | 0.953 | 0.969 | 100 | 0.940 | 0.954 | 0.972 | 100 | 0.928 | 0.927 | 0.903 | 500 | 0.930 | 0.945 | 0.950 | 500 | 0.940 | 0.948 | 0.964 | 500 | 0.881 | 0.965 | 0.945 | AWs | 25 | 5.001 | 0.396 | 2.461 | 25 | 0.405 | 0.627 | 2.721 | 25 | 3.158 | 0.316 | 2.375 | 50 | 3.123 | 0.276 | 1.782 | 50 | 0.279 | 0.455 | 2.047 | 50 | 1.873 | 0.222 | 1.751 | 100 | 2.078 | 0.196 | 1.276 | 100 | 0.082 | 0.327 | 1.485 | 100 | 1.170 | 0.154 | 1.271 | 500 | 0.887 | 0.088 | 0.573 | 500 | 0.082 | 0.149 | 0.671 | 500 | 0.443 | 0.067 | 0.607 |
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