研究文章
刘新康威Maxwell-Poisson回归Estimator-Method和应用程序
表13
估计系数,标准误差和均方误差值,COMPRM胶合板数据估计。
|
| 估计 |
|
SE |
|
SE |
|
SE |
|
SE |
均方误差 |
简历 |
|
| 大中型企业 |
0.4978 |
1.6617 |
0.5970 |
1.5616 |
0.3845 |
1.2254 |
0.7369 |
1.8375 |
8.4929 |
5.5664 |
|
|
0.5700 |
0.1822 |
0.5172 |
0.2531 |
0.4749 |
0.4901 |
0.6050 |
0.3122 |
0.4976 |
2.2159 |
|
|
0.5700 |
0.1822 |
0.5172 |
0.2531 |
0.4749 |
0.4901 |
0.6050 |
0.3122 |
0.4776 |
2.7841 |
|
|
0.5284 |
0.1861 |
0.5632 |
0.2644 |
0.4227 |
0.7732 |
0.6811 |
1.7035 |
3.6162 |
3.6658 |
|
|
0.5700 |
0.1822 |
0.5172 |
0.2531 |
0.4749 |
0.4901 |
0.6050 |
0.3122 |
0.4976 |
2.8547 |
|
|
0.5700 |
0.1822 |
0.5172 |
0.2531 |
0.4749 |
0.4901 |
0.6050 |
0.3122 |
0.4996 |
2.2219 |
|
|
0.5700 |
0.1822 |
0.5172 |
0.2531 |
0.4749 |
0.4901 |
0.6050 |
0.3122 |
0.4976 |
2.0015 |
|
|
0.5603 |
0.1831 |
0.5280 |
0.2558 |
0.4627 |
0.5565 |
0.6229 |
0.6384 |
0.8633 |
3.3556 |
|
|
0.5700 |
0.1822 |
0.5172 |
0.2531 |
0.4749 |
0.4901 |
0.6050 |
0.3122 |
0.4976 |
2.9874 |
|
|
0.5700 |
0.1822 |
0.5172 |
0.2531 |
0.4749 |
0.4901 |
0.6050 |
0.3122 |
0.4956 |
3.3015 |
|
|
0.5700 |
0.1822 |
0.5172 |
0.2531 |
0.4749 |
0.4901 |
0.6050 |
0.3122 |
0.4976 |
2.8541 |
|
|
0.5603 |
0.1831 |
0.5280 |
0.2558 |
0.4627 |
0.5565 |
0.6229 |
0.6384 |
0.8633 |
4.1126 |
|
|
0.5700 |
0.0431 |
0.5172 |
0.0253 |
0.4749 |
0.2901 |
0.6050 |
0.1122 |
0.4476 |
1.1196 |
|
|
|
请注意。SE =标准误差。
|
