Research Article
Development of New Robust Optimal Score Function for the Weibull Distributed Error Term in Multilevel Models
Table 8
Bias and MSE of
using Weibull, Wilcoxon, and REML methods when
= 6.
.
| | REML | Weibull | Wilcoxon | Precision | N2 | N1 | Bias | MSE | Bias | MSE | Bias | MSE | Weib/REML | Weib/Wil | Wil/REML |
| 5 | 5 | 2.167 | 1.533 | 0.214 | 0.286 | 2.38 | 2.004 | 1.087 | 1.096 | 1.092 | 10 | 2.182 | 2.139 | 0.235 | 0.417 | 2.48 | 2.572 | 1.012 | 1.081 | 1.013 | 20 | 2.182 | 3.514 | 0.22 | 0.627 | 2.458 | 4.117 | 1.072 | 1.065 | 1.1 | 40 | 2.184 | 6.24 | 0.227 | 1.214 | 2.464 | 7.227 | 1.058 | 1.068 | 1.084 |
| 10 | 5 | 2.323 | 1.227 | 0.096 | 0.155 | 2.639 | 1.432 | 1.067 | 1.091 | 1.069 | 10 | 2.324 | 1.591 | 0.111 | 0.179 | 2.625 | 1.853 | 1.065 | 1.096 | 1.062 | 20 | 2.331 | 2.354 | 0.107 | 0.264 | 2.651 | 2.701 | 1.047 | 1.095 | 1.048 | 40 | 2.304 | 3.857 | 0.101 | 0.44 | 2.622 | 4.427 | 1.048 | 1.098 | 1.046 |
| 20 | 5 | 2.369 | 1.021 | 0.044 | 0.104 | 2.667 | 1.165 | 1.041 | 1.098 | 1.039 | 10 | 2.375 | 1.23 | 0.038 | 0.109 | 2.689 | 1.387 | 1.028 | 1.095 | 1.03 | 20 | 2.38 | 1.638 | 0.058 | 0.145 | 2.69 | 1.842 | 1.025 | 1.095 | 1.027 | 40 | 2.368 | 2.437 | 0.052 | 0.211 | 2.676 | 2.748 | 1.028 | 1.101 | 1.025 |
| 40 | 5 | 2.395 | 0.936 | 0.042 | 0.093 | 2.707 | 1.038 | 1.010 | 1.088 | 1.019 | 10 | 2.417 | 1.058 | 0.044 | 0.094 | 2.729 | 1.169 | 1.015 | 1.087 | 1.016 | 20 | 2.4 | 1.251 | 0.018 | 0.102 | 2.718 | 1.383 | 1.078 | 1.089 | 1.015 | 40 | 2.382 | 1.643 | 0.02 | 0.147 | 2.693 | 1.827 | 1.097 | 1.096 | 1.015 |
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