Research Article
Development of New Robust Optimal Score Function for the Weibull Distributed Error Term in Multilevel Models
Table 7
Bias and MSE of
using Weibull, Wilcoxon, and REML methods when
ā=ā3.
.
| | REML | Weibull | Wilcoxon | Precision | N2 | N1 | Bias | MSE | Bias | MSE | Bias | MSE | Weib/REML | Weib/Wil | Wil/REML |
| 5 | 5 | 2.152 | 2.39 | 0.242 | 0.307 | 2.219 | 2.715 | 1.121 | 0.987 | 1.136 | 10 | 2.15 | 3.563 | 0.223 | 0.382 | 2.22 | 3.913 | 1.058 | 0.964 | 1.098 | 20 | 2.126 | 5.767 | 0.236 | 0.71 | 2.201 | 6.23 | 1.028 | 0.952 | 1.08 | 40 | 2.153 | 10.597 | 0.228 | 1.223 | 2.225 | 11.452 | 1.01 | 0.935 | 1.081 |
| 10 | 5 | 2.274 | 1.995 | 0.103 | 0.145 | 2.324 | 2.1 | 1.044 | 0.991 | 1.053 | 10 | 2.27 | 2.626 | 0.095 | 0.166 | 2.314 | 2.761 | 1.041 | 0.99 | 1.051 | 20 | 2.259 | 3.901 | 0.117 | 0.261 | 2.307 | 4.068 | 1.034 | 0.992 | 1.043 | 40 | 2.274 | 6.548 | 0.105 | 0.402 | 2.318 | 6.852 | 1.029 | 0.983 | 1.046 |
| 20 | 5 | 2.317 | 1.717 | 0.04 | 0.107 | 2.344 | 1.765 | 1.027 | 0.999 | 1.028 | 10 | 2.323 | 2.048 | 0.039 | 0.115 | 2.347 | 2.109 | 1.023 | 0.993 | 1.03 | 20 | 2.323 | 2.731 | 0.036 | 0.146 | 2.348 | 2.804 | 1.022 | 0.995 | 1.027 | 40 | 2.325 | 4.113 | 0.042 | 0.231 | 2.354 | 4.211 | 1.014 | 0.991 | 1.024 |
| 40 | 5 | 2.353 | 1.574 | 0.02 | 0.093 | 2.367 | 1.601 | 1.016 | 0.999 | 1.017 | 10 | 2.349 | 1.743 | 0.035 | 0.099 | 2.364 | 1.767 | 1.013 | 0.999 | 1.014 | 20 | 2.352 | 2.097 | 0.017 | 0.111 | 2.369 | 2.125 | 1.011 | 0.998 | 1.013 | 40 | 2.346 | 2.787 | 0.034 | 0.136 | 2.36 | 2.828 | 1.012 | 0.998 | 1.015 |
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