研究文章

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

表11

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 2062.182 7 2061.693 8 2061.175 - 5 2060.625 - 1 2060.039 - 5
0.2 757.255 6 755.313 - 4 753.264 - 3 751.099 - 3 748.808 - 2
0.3 728.352 - 1 724.973 9 721.425 0 717.692 - 2 713.760 8
0.4 1494.992 - 5 1485.649 - 2 1475.866 - 3 1465.612 - 3 1454.852 - 1
0.5 1138.649 9 1129.854 - 3 1120.672 8 1111.079 6 1101.046 - 4
0.6 471.604 - 1 466.406 9 461.018 - 4 455.428 0 449.623 9
0.7 653.137 9 643.694 - 4 633.972 - 5 623.959 7 613.642 6
0.8 491.045 6 484.524 - 4 477.794 - 5 470.845 9 463.667 7
0.9 615.439 - 5 605.537 - 5 595.377 6 584.949 8 574.243 - 2

当数据是来自伽马分布
0.1 297.869 - 3 298.238 8 298.631 7 299.050 - 2 299.497 - 1
0.2 298.423 0 298.449 - 3 298.477 - 2 298.506 9 298.538 - 5
0.3 303.239 0 302.924 8 302.592 - 3 302.239 8 301.865 - 5
0.4 293.266 - 4 292.551 0 291.796 - 2 290.998 - 4 290.153 9
0.5 294.795 7 293.539 - 4 292.218 7 290.828 - 4 289.362 9
0.6 295.282 7 293.410 - 3 291.450 - 2 289.396 0 287.241 0
0.7 296.138 8 293.373 9 290.497 - 3 287.502 - 1 284.380 7
0.8 273.078 6 269.764 - 2 266.335 7 262.787 - 2 259.112 - 2
0.9 262.412 9 258.184 8 253.846 9 249.394 7 244.823 8

当数据生成从泊松分布
0.1 219.817 0 219.828 6 219.841 0 219.854 - 1 219.868 0
0.2 219.610 - 4 219.514 - 2 219.412 - 4 219.304 - 2 219.189 - 2
0.3 218.016 - 2 217.784 9 217.540 0 217.280 - 5 217.004 9
0.4 218.776 0 218.414 6 218.032 6 217.628 - 2 217.199 - 3
0.5 214.476 7 213.896 6 213.284 7 212.638 - 5 211.954 8
0.6 212.655 0 211.926 9 211.160 0 210.351 - 3 209.497 - 3
0.7 203.733 - 4 202.783 9 201.786 - 5 200.737 - 4 199.632 6
0.8 199.461 7 198.332 7 197.149 - 2 195.907 - 1 194.601 9
0.9 181.441 7 180.131 0 178.761 - 4 177.328 8 175.828 7