Research Article
Development of New Robust Optimal Score Function for the Weibull Distributed Error Term in Multilevel Models
Table 6
Bias and MSE of
using Weibull, Wilcoxon, and REML methods when
ā=ā6.
.
| | REML | Weibull | Wilcoxon | Precision | N2 | N1 | Bias | MSE | Bias | MSE | Bias | MSE | Weib/REML | Weib/Wil | Wil/REML |
| 5 | 5 | 2.145 | 1.616 | 0.223 | 0.56 | 2.147 | 1.955 | 1.092 | 1.068 | 1.21 | 10 | 2.181 | 2.219 | 0.214 | 0.721 | 2.176 | 2.429 | 1.089 | 1.086 | 1.095 | 20 | 2.15 | 3.48 | 0.236 | 1.147 | 2.153 | 3.653 | 1.039 | 1.085 | 1.05 | 40 | 2.139 | 6.208 | 0.236 | 2.084 | 2.143 | 6.413 | 1.012 | 1.076 | 1.033 |
| 10 | 5 | 2.264 | 1.212 | 0.073 | 0.296 | 2.266 | 1.294 | 1.065 | 1.091 | 1.068 | 10 | 2.278 | 1.561 | 0.103 | 0.342 | 2.268 | 1.614 | 1.023 | 1.086 | 1.034 | 20 | 2.25 | 2.273 | 0.144 | 0.547 | 2.245 | 2.305 | 1.019 | 1.014 | 1.014 | 40 | 2.259 | 3.79 | 0.087 | 0.85 | 2.261 | 3.811 | 1.017 | 1.09 | 1.006 |
| 20 | 5 | 2.337 | 1.024 | 0.078 | 0.254 | 2.327 | 1.036 | 1.007 | 1.095 | 1.012 | 10 | 2.31 | 1.202 | 0.034 | 0.235 | 2.302 | 1.201 | 1.093 | 1.094 | 0.999 | 20 | 2.319 | 1.579 | 0.053 | 0.327 | 2.31 | 1.572 | 1.099 | 1.104 | 0.996 | 40 | 2.328 | 2.391 | 0.063 | 0.496 | 2.317 | 2.375 | 1.097 | 1.104 | 0.993 |
| 40 | 5 | 2.338 | 0.908 | 0.022 | 0.2 | 2.321 | 0.906 | 1.081 | 1.084 | 0.998 | 10 | 2.35 | 1.017 | 0.023 | 0.204 | 2.335 | 1.006 | 1.082 | 1.093 | 0.989 | 20 | 2.334 | 1.213 | 0.03 | 0.225 | 2.317 | 1.198 | 1.079 | 1.093 | 0.988 | 40 | 2.345 | 1.613 | -0.001 | 0.298 | 2.328 | 1.592 | 1.086 | 1.1 | 0.987 |
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