研究文章

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

表8

估计为了COMPRM的估计,当

n ρ 大中型企业

50 0.80 17.974 4.025 5.120 13.518 2.213 3.730 3.511 10.519 2.180 3.262 2.658 10.519 2.172
0.90 34.060 8.389 10.819 26.731 1.919 5.838 5.447 18.093 1.890 4.207 3.006 18.093 1.880
0.95 54.728 11.931 15.096 42.774 1.507 6.154 5.245 26.395 1.368 4.145 2.618 26.395 1.337
0.99 316.415 88.845 112.764 281.113 7.263 33.531 30.884 161.060 0.954 15.262 7.057 161.060 0.777

One hundred. 0.80 11.067 2.437 2.848 7.294 2.057 2.489 2.560 6.404 2.057 2.541 2.253 6.404 2.057
0.90 19.801 3.296 4.069 13.370 1.730 3.111 2.924 11.072 1.730 2.812 2.137 11.072 1.730
0.95 38.528 6.427 7.889 27.660 1.373 4.987 4.291 21.080 1.360 3.560 2.235 21.080 1.333
0.99 185.349 29.841 35.463 150.382 1.018 18.001 15.031 97.777 0.536 8.956 3.796 97.777 0.505

150年 0.80 12.028 2.470 2.948 7.802 2.055 2.516 2.597 6.946 2.055 2.575 2.261 6.946 2.055
0.90 21.884 3.264 3.796 14.966 1.677 3.097 2.754 12.285 1.677 2.845 2.038 12.285 1.677
0.95 42.069 5.995 8.037 29.204 1.293 5.274 4.610 22.413 1.203 3.671 2.241 22.413 1.175
0.99 208.743 34.159 37.745 166.938 0.857 20.269 16.772 107.252 0.444 10.152 4.436 107.255 0.412

200年 0.80 10.360 2.215 2.467 6.557 1.960 2.234 2.294 5.851 1.960 2.336 2.104 5.851 1.960
0.90 20.889 2.940 3.819 13.623 1.692 3.073 2.909 11.585 1.692 2.892 2.164 11.585 1.692
0.95 40.342 5.571 7.000 27.612 1.203 4.927 4.357 21.660 1.201 3.613 2.153 21.660 1.199
0.99 197.037 31.122 33.893 157.644 0.600 18.719 15.572 100.621 0.438 9.806 4.221 100.621 0.415