研究文章
一个Exponential-Cum-Sine-Type混合归罪技术缺失的数据
表5
的值
当
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 |
100.134 - 4 |
100.110 6 |
100.085 - 5 |
100.058 7 |
100.030 - 3 |
| 0.2 |
101.457 - 1 |
101.196 9 |
100.922 - 4 |
100.632 - 3 |
100.325 - 4 |
| 0.3 |
102.640 - 5 |
102.164 - 5 |
101.664 - 4 |
101.138 - 3 |
100.584 - 3 |
| 0.4 |
103.563 8 |
102.916 - 5 |
102.238 9 |
101.528 - 5 |
100.783 - 1 |
| 0.5 |
104.411 - 4 |
103.604 8 |
102.762 9 |
101.883 - 2 |
100.963 - 2 |
| 0.6 |
106.314 - 4 |
105.142 8 |
103.928 - 1 |
102.667 8 |
101.359 - 4 |
| 0.7 |
108.313 - 4 |
106.747 - 4 |
105.135 - 1 |
103.474 6 |
101.763 7 |
| 0.8 |
107.626 8 |
106.197 - 5 |
104.722 - 5 |
103.199 - 5 |
101.626 - 2 |
| 0.9 |
109.266 - 4 |
107.508 - 4 |
105.704 6 |
103.853 - 2 |
101.952 - 4 |
|
|
当数据是来自伽马分布 |
| 0.1 |
99.298 0 |
99.421 - 1 |
99.552 - 1 |
99.691 6 |
99.840 6 |
| 0.2 |
99.950 0 |
99.958 9 |
99.968 - 2 |
99.978 - 1 |
99.988 7 |
| 0.3 |
100.587 7 |
100.483 - 5 |
100.373 - 2 |
100.256 - 3 |
100.132 - 1 |
| 0.4 |
101.385 6 |
101.138 - 3 |
100.877 - 3 |
100.601 - 5 |
100.309 - 5 |
| 0.5 |
102.425 - 1 |
101.988 6 |
101.529 7 |
101.046 7 |
100.537 - 5 |
| 0.6 |
103.616 - 2 |
102.959 - 2 |
102.271 - 4 |
101.550 6 |
100.794 - 3 |
| 0.7 |
105.340 6 |
104.357 - 1 |
103.333 8 |
102.268 - 4 |
101.158 - 1 |
| 0.8 |
106.962 - 2 |
105.664 0 |
104.321 - 1 |
102.931 - 2 |
101.491 7 |
| 0.9 |
109.279 9 |
107.519 - 1 |
105.712 6 |
103.858 - 5 |
101.955 0 |
|
|
当数据生成从泊松分布 |
| 0.1 |
99.970 - 1 |
99.975 - 3 |
99.980 9 |
99.986 9 |
99.993 - 2 |
| 0.2 |
100.248 - 2 |
100.204 - 3 |
100.157 8 |
100.108 - 4 |
100.055 9 |
| 0.3 |
100.602 0 |
100.495 - 2 |
100.382 - 2 |
100.262 - 5 |
100.135 - 3 |
| 0.4 |
100.937 7 |
100.770 9 |
100.594 7 |
100.408 - 1 |
100.210 - 2 |
| 0.5 |
101.536 9 |
101.262 - 3 |
100.972 6 |
100.666 6 |
100.343 0 |
| 0.6 |
101.946 9 |
101.597 9 |
101.230 - 2 |
100.842 6 |
100.433 - 1 |
| 0.7 |
102.653 - 3 |
102.174 9 |
101.672 - 3 |
101.143 7 |
100.587 - 1 |
| 0.8 |
103.225 6 |
102.641 - 4 |
102.028 9 |
101.386 - 1 |
100.710 6 |
| 0.9 |
104.123 - 4 |
103.371 - 2 |
102.585 - 2 |
101.763 - 1 |
100.902 - 3 |
|
|
