Table 1.
BEOI regression model | OABR regression model | |||||||
---|---|---|---|---|---|---|---|---|
| ||||||||
Bias | SD | SE | RMSE | Bias | SD | SE | RMSE | |
Setting III: Data simulated from the BEOI regression model with outliers | ||||||||
ω0 = −1.5 | −0.001 | 0.071 | 0.068 | 0.071 | −0.007 | 0.070 | 0.068 | 0.070 |
ω1 = −0.5 | 0.005 | 0.102 | 0.095 | 0.102 | 0.005 | 0.099 | 0.096 | 0.098 |
β0 = 1.5 | −0.103 | 0.033 | 0.032 | 0.108 | −0.063 | 0.034 | 0.032 | 0.072 |
β1 = −0.5 | 0.015 | 0.044 | 0.043 | 0.047 | 0.019 | 0.045 | 0.043 | 0.049 |
β2 = −0.1 | 0.007 | 0.006 | 0.005 | 0.009 | 0.004 | 0.006 | 0.005 | 0.007 |
β3 = 0.2 | −0.010 | 0.008 | 0.007 | 0.012 | −0.008 | 0.008 | 0.007 | 0.011 |
η0 = 2.5 | −0.170 | 0.059 | 0.063 | 0.180 | 0.041 | 0.061 | 0.058 | 0.073 |
η1 = 0.2 | 0.090 | 0.084 | 0.088 | 0.123 | 0.035 | 0.082 | 0.080 | 0.089 |
η2 = 0.1 | 0.011 | 0.017 | 0.015 | 0.020 | 0.009 | 0.017 | 0.016 | 0.019 |
η3 = 0.1 | −0.058 | 0.024 | 0.021 | 0.063 | −0.014 | 0.023 | 0.022 | 0.028 |
σ1 = 1.2 | 0.000 | 0.057 | 0.055 | 0.057 | 0.003 | 0.055 | 0.055 | 0.055 |
σ2 = 0.6 | −0.043 | 0.016 | 0.015 | 0.045 | −0.029 | 0.015 | 0.014 | 0.032 |
σ3 = 0.4 | 0.420 | 0.017 | 0.027 | 0.420 | −0.069 | 0.042 | 0.042 | 0.081 |
ρ12 = 0.4 | −0.024 | 0.046 | 0.044 | 0.052 | −0.006 | 0.042 | 0.042 | 0.042 |
ρ13 = 0.1 | −0.133 | 0.065 | 0.060 | 0.148 | −0.025 | 0.124 | 0.123 | 0.126 |
ρ23 = 0.4 | −0.046 | 0.034 | 0.041 | 0.057 | −0.058 | 0.079 | 0.078 | 0.098 |
α = 0 | 0.074 | 0.003 | 0.007 | 0.074 |