研究文章

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

表7

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
0.1 470.654 - 1 448.598 9 405.082 - 4 335.811 6 235.944 6
0.2 205.929 6 200.477 9 188.554 - 3 168.842 - 5 139.873 - 1
0.3 188.801 9 184.937 7 175.366 8 158.912 - 2 134.271 - 4
0.4 303.819 - 3 294.193 0 271.676 - 3 233.719 8 177.522 6
0.5 229.191 9 224.740 8 211.484 9 187.620 - 1 151.176 6
0.6 120.640 - 2 122.286 - 4 121.653 - 5 118.156 - 1 111.164 6
0.7 133.264 - 1 135.276 - 3 133.806 8 128.030 - 1 117.071 0
0.8 103.726 6 108.071 - 5 110.493 9 110.391 - 4 107.121 9
0.9 105.568 7 111.201 - 2 114.246 - 5 113.939 - 4 109.473 9

当数据是来自伽马分布
0.1 137.107 - 3 135.015 - 2 130.737 8 123.827 - 1 113.774 - 4
0.2 134.024 - 1 132.235 6 128.394 0 122.072 7 112.790 - 1
0.3 131.435 - 3 129.955 - 5 126.514 - 3 120.695 9 112.033 - 5
0.4 125.754 8 124.791 - 5 122.129 - 5 117.396 - 2 110.175 - 1
0.5 121.186 - 1 120.746 - 3 118.779 8 114.934 - 1 108.818 8
0.6 115.379 - 1 115.641 - 5 114.583 8 111.873 7 107.146 - 3
0.7 108.611 - 5 109.731 - 4 109.758 0 108.377 - 1 105.247 9
0.8 97.570 0 99.957 8 101.676 9 102.455 0 102.000 - 3
0.9 88.167 8 91.827 8 95.109 0 97.750 - 4 99.477 - 3

当数据生成从泊松分布
0.1 121.737 - 3 120.509 - 3 118.000 0 113.948 - 4 108.059 8
0.2 119.469 0 118.492 9 116.324 8 112.714 - 2 107.379 0
0.3 116.387 - 1 115.749 6 114.042 9 111.031 - 3 106.449 9
0.4 113.897 9 113.565 - 1 112.251 - 2 109.728 - 2 105.740 - 3
0.5 108.956 - 1 109.183 7 108.621 6 107.062 - 5 104.275 0
0.6 105.457 8 106.119 - 4 106.113 7 105.242 8 103.286 8
0.7 99.941 6 101.235 9 102.075 0 102.282 - 5 101.663 - 1
0.8 95.626 7 97.480 - 5 99.022 0 100.082 7 100.477 0
0.9 87.555 7 90.392 - 2 93.207 - 4 95.855 8 98.178 - 2