研究文章
EM算法估计的参数Quasi-Lindley模型与应用程序
表2
企业和EM估计的仿真结果
当审查速度分布
(在每一个细胞,第一行和第二行相关
和
,分别)。
|
| 方法 |
|
One hundred. |
200年 |
|
|
B |
均方误差 |
CP |
CILM |
B |
均方误差 |
CP |
CILM |
|
| 大中型企业 |
0.4,0.02 |
3.09912 |
996.321 |
0.8758 |
171.84 |
0.28132 |
58.7714 |
0.92 |
9.9925 |
| −0.00013 |
0.000008 |
0.9452 |
0.0107 |
−0.00009 |
0.000004 |
0.9588 |
0.0075 |
| 0.5,0.5 |
6.4487 |
2928.10 |
0.867 |
439.53 |
0.6962 |
126.6613 |
0.9054 |
61.3642 |
| −0.00363 |
0.0063 |
0.939 |
0.3021 |
−0.00235 |
0.00289 |
0.9604 |
0.2062 |
| 0.7,0.1 |
15.625 |
6471.68 |
0.853 |
958.73 |
2.6733 |
556.14 |
0.8947 |
215.307 |
| −0.00139 |
0.00031 |
0.9182 |
0.0699 |
−0.00099 |
0.00016 |
0.9512 |
0.0498 |
|
| 新兴市场 |
0.4,0.02 |
0.00538 |
0.01108 |
0.9812 |
1.3233 |
0.00231 |
0.00557 |
0.9976 |
0.8762 |
| 0.00008 |
0.000003 |
0.978 |
0.01113 |
0.00009 |
0.0000015 |
0.994 |
0.0075 |
| 0.5,0.5 |
0.00293 |
0.01506 |
0.9698 |
1.6263 |
0.00202 |
0.00752 |
0.9966 |
1.1044 |
| 0.00327 |
0.00193 |
0.967 |
0.2993 |
0.00101 |
0.00096 |
0.9944 |
0.2047 |
| 0.7,0.1 |
0.00785 |
0.02433 |
0.9452 |
2.3950 |
0.00380 |
0.01193 |
0.9872 |
1.6584 |
| 0.00029 |
0.00007 |
0.9434 |
0.06918 |
0.00038 |
0.00004 |
0.9856 |
0.0482 |
|
|
