研究文章

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

表9

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 1361.451 - 1 1484.757 6 1615.473 - 2 1754.286 6 1901.974 - 3
0.2 523.041 9 562.926 - 2 605.004 8 649.463 8 696.511 - 2
0.3 504.883 7 541.794 7 580.570 - 3 621.355 7 664.311 - 1
0.4 998.053 7 1078.963 - 1 1163.678 - 3 1252.474 - 2 1345.653 0
0.5 769.279 0 828.016 - 2 889.329 7 953.392 7 1020.394 - 5
0.6 341.143 - 5 360.152 7 379.861 - 5 400.309 - 2 421.538 - 1
0.7 458.557 7 485.768 8 513.782 - 2 542.633 9 572.362 - 1
0.8 354.110 - 3 373.251 8 393.005 - 4 413.401 - 2 434.470 8
0.9 434.663 - 4 459.058 - 3 484.088 - 3 509.778 - 4 536.155 - 3

当数据是来自伽马分布
0.1 226.951 0 239.763 0 253.386 - 3 267.900 - 4 283.395 8
0.2 227.539 8 240.069 8 253.361 - 5 267.486 8 282.526 - 4
0.3 230.863 6 243.383 - 3 256.633 - 4 270.679 9 285.596 7
0.4 224.737 - 5 236.253 - 2 248.405 - 5 261.248 9 274.843 9
0.5 226.091 9 237.201 0 248.880 - 3 261.175 - 1 274.135 - 1
0.6 226.830 - 4 237.395 - 3 248.455 0 260.045 - 2 272.204 9
0.7 227.996 6 237.780 7 247.960 - 1 258.559 - 3 269.604 7
0.8 213.751 - 3 221.499 - 4 229.514 - 2 237.809 7 246.400 8
0.9 207.722 6 213.871 - 4 220.180 0 226.654 7 233.302 - 1

当数据生成从泊松分布
0.1 177.014 - 5 184.577 7 192.600 - 1 201.124 8 210.200 7
0.2 176.981 0 184.423 - 1 192.309 - 1 200.679 9 209.581 7
0.3 176.082 6 183.287 9 190.913 - 3 198.996 - 4 207.579 9
0.4 176.690 9 183.813 - 5 191.342 - 2 199.312 6 207.764 7
0.5 174.141 - 1 180.768 9 187.759 - 3 195.142 9 202.953 8
0.6 173.116 - 4 179.477 - 2 186.176 0 193.240 6 200.701 8
0.7 167.633 - 3 173.193 0 179.033 - 2 185.175 9 191.645 0
0.8 165.091 7 170.188 - 2 175.530 9 181.138 - 2 187.030 - 1
0.9 153.828 - 1 157.554 6 161.448 6 165.521 6 169.786 - 3