研究文章

一个Exponential-Cum-Sine-Type混合归罪技术缺失的数据

表8

的值 和响应率 对生成的数据从正常、γ和泊松分布。

当反应率
75% 80% 85% 90% 95%

当数据来自正态分布
0.1 1916.780 - 1 1674.549 - 3 1417.763 - 3 1145.069 6 854.942 7
0.2 647.902 - 5 569.861 9 487.527 8 400.535 9 308.479 - 5
0.3 582.505 - 4 509.820 - 1 433.462 7 353.148 0 268.559 9
0.4 1197.061 - 4 1032.498 - 1 860.194 - 1 679.590 - 3 490.072 0
0.5 844.349 - 3 725.848 - 4 602.149 8 472.904 - 1 337.729 - 5
0.6 281.945 8 244.044 6 204.748 7 163.979 6 121.653 0
0.7 380.226 8 322.547 7 263.168 - 1 202.011 - 5 138.996 9
0.8 240.640 9 203.163 7 164.487 8 124.554 8 83.302 - 3
0.9 288.721 7 238.802 - 4 187.583 - 5 135.013 8 81.038 9

当数据是来自伽马分布
0.1 284.139 - 1 259.915 0 234.157 0 206.714 6 177.417 - 1
0.2 272.979 - 2 249.299 - 4 224.179 9 197.485 - 3 169.062 6
0.3 265.010 - 4 241.396 - 3 216.404 - 5 189.910 7 161.775 - 4
0.4 242.326 - 3 220.621 7 197.717 - 2 173.510 - 2 147.886 6
0.5 226.876 8 205.793 - 4 183.627 6 160.294 0 135.697 8
0.6 207.659 0 187.420 - 3 166.233 6 144.030 8 120.736 8
0.7 185.522 7 166.100 6 145.893 8 124.853 9 102.928 - 1
0.8 144.503 8 128.566 - 4 112.080 - 4 95.017 0 77.345 - 5
0.9 112.683 - 1 98.642 6 84.237 - 3 69.452 7 54.273 7

当数据生成从泊松分布
0.1 208.198 7 193.633 0 178.182 8 161.765 0 144.286 0
0.2 200.344 9 186.282 - 4 171.381 0 155.563 - 5 138.742 6
0.3 189.485 - 1 176.179 - 2 162.097 7 147.170 8 131.320 0
0.4 181.498 6 168.589 7 154.945 0 140.499 7 125.181 - 2
0.5 164.227 9 152.522 - 1 140.175 9 127.135 - 1 113.339 6
0.6 152.881 - 1 141.837 - 5 130.206 9 117.941 - 2 104.987 0
0.7 133.280 9 123.706 - 1 113.648 - 1 103.069 - 4 91.928 - 3
0.8 119.479 0 110.693 - 3 101.483 - 1 91.816 9 81.660 - 1
0.9 91.544 9 84.914 0 77.985 - 1 70.737 8 63.149 - 4