研究文章

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

表6

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
0.1 769.433 6 651.167 6 525.795 - 1 392.656 0 251.005 - 3
0.2 299.679 7 264.020 - 4 226.399 - 2 186.649 7 144.586 0
0.3 274.230 - 3 242.818 - 2 209.819 - 3 175.110 - 1 138.554 - 2
0.4 496.315 6 424.337 8 348.974 - 3 269.980 6 187.087 8
0.5 365.407 7 316.882 7 266.229 - 3 213.304 - 3 157.951 6
0.6 161.467 9 150.062 8 138.238 0 125.969 8 113.233 0
0.7 194.934 - 1 177.050 6 158.639 9 139.678 - 2 120.140 - 5
0.8 142.841 8 134.812 9 126.527 - 2 117.972 - 2 109.134 6
0.9 157.471 7 146.568 - 1 135.380 7 123.898 - 2 112.108 8

当数据是来自伽马分布
0.1 167.446 9 155.613 - 4 143.030 6 129.625 0 115.313 - 2
0.2 163.157 7 152.016 8 140.198 6 127.639 - 3 114.266 9
0.3 159.970 7 149.336 - 5 138.081 8 126.150 7 113.480 - 4
0.4 151.366 - 5 142.198 7 132.523 9 122.299 - 1 111.475 8
0.5 145.333 - 2 137.174 - 2 128.596 - 2 119.566 - 4 110.047 9
0.6 137.744 9 130.887 0 123.707 7 116.184 - 2 108.290 9
0.7 129.067 - 1 123.714 - 1 118.144 9 112.346 0 106.302 9
0.8 113.216 - 1 110.751 8 108.202 6 105.564 - 2 102.831 7
0.9 100.842 - 1 100.682 - 3 100.518 - 4 100.350 - 1 100.177 - 4

当数据生成从泊松分布
0.1 139.707 9 132.702 - 4 125.271 - 4 117.375 - 1 108.968 - 4
0.2 136.595 - 4 130.124 - 2 123.267 0 115.988 - 2 108.247 6
0.3 132.307 - 4 126.577 8 120.514 - 3 114.086 8 107.261 - 4
0.4 129.075 8 123.905 - 2 118.439 9 112.653 9 106.518 - 2
0.5 122.248 - 5 118.272 8 114.079 - 5 109.650 - 3 104.964 8
0.6 117.655 7 114.490 - 2 111.156 - 5 107.640 7 103.927 6
0.7 109.955 8 108.160 7 106.274 9 104.291 6 102.202 8
0.8 104.363 - 1 103.572 8 102.744 - 4 101.874 9 100.961 - 2
0.9 93.266 0 94.494 - 4 95.778 0 97.120 6 98.526 - 5