研究文章

刘新康威Maxwell-Poisson回归Estimator-Method和应用程序

表12

估计为了COMPRM的估计,当

n ρ 大中型企业

50 0.80 63.168 16.301 22.056 54.539 2.494 10.382 9.771 39.565 2.417 6.187 3.966 39.565 2.400
0.90 118.398 30.318 41.830 102.978 1.871 15.609 12.943 68.747 1.669 7.711 3.732 68.747 1.617
0.95 238.346 67.567 87.356 213.248 2.992 28.167 25.623 137.368 1.396 11.737 5.443 137.368 1.177
0.99 1344.30 431.449 542.212 1268.88 12.429 163.063 144.474 835.436 0.996 51.262 13.749 835.436 0.787

One hundred. 0.80 25.804 4.901 6.484 19.299 2.149 4.496 4.241 15.238 2.146 3.671 2.748 15.238 2.143
0.90 52.363 10.086 13.886 40.252 1.616 7.514 6.937 30.561 1.599 4.650 2.894 30.561 1.585
0.95 96.244 18.678 21.891 76.807 1.200 10.793 8.237 54.968 1.105 5.701 2.632 54.968 1.064
0.99 481.989 101.187 120.566 427.314 1.354 45.019 37.943 272.905 0.464 17.306 6.364 272.905 0.412

150年 0.80 22.659 3.878 4.627 16.281 2.041 3.716 3.463 13.5085 2.038 3.268 2.466 13.508 2.036
0.90 40.844 6.258 7.857 29.751 1.606 5.289 4.425 23.590 1.591 3.759 2.400 23.590 1.580
0.95 85.259 14.897 17.858 65.843 1.049 10.007 8.317 49.744 1.017 5.300 2.540 49.744 0.998
0.99 411.938 73.949 80.989 347.646 1.932 40.042 30.879 235.329 0.459 16.923 5.653 235.329 0.383

200年 0.80 21.622 3.446 4.326 15.123 2.175 3.564 3.413 13.061 2.175 3.325 2.571 13.061 2.175
0.90 39.402 6.077 7.915 28.104 1.542 5.388 4.724 23.105 1.540 3.866 2.468 23.105 1.539
0.95 72.769 10.799 13.576 54.355 1.100 8.425 6.998 41.265 1.067 4.919 2.501 41.265 1.051
0.99 366.248 60.925 68.981 311.750 0.510 35.042 30.722 205.912 0.376 14.729 6.062 205.912 0.340