Сводная таблица значений №1.
Номер |
Число ГСЧ |
Модуль вектора |
Фаза вектора |
Некорр. (гауссовский) процесс |
Коррелир. (марковский) процесс |
Оценка мат. ожидания |
Оценка дисперсии. |
0 |
0.350 |
1.449 |
|
0.985 |
1.155 |
|
|
1 |
0.227 |
|
81.784 |
0.207 |
1.137 |
1.759 |
0.030 |
2 |
0.484 |
1.205 |
|
1.434 |
1.382 |
|
|
3 |
0.868 |
|
312.427 |
0.813 |
1.471 |
1.795 |
0.025 |
4 |
0.260 |
1.642 |
|
-0.889 |
1.189 |
|
|
5 |
0.691 |
|
248.799 |
-0.594 |
0.997 |
1.633 |
0.091 |
6 |
0.004 |
3.357 |
|
-1.531 |
0.624 |
|
|
7 |
0.586 |
|
210.953 |
-2.879 |
-0.001 |
1.310 |
0.431 |
8 |
0.051 |
2.439 |
|
-1.727 |
-0.321 |
|
|
9 |
0.653 |
|
235.130 |
-1.395 |
-0.539 |
1.007 |
0.748 |
10 |
0.858 |
0.554 |
|
-2.001 |
-0.867 |
|
|
11 |
0.152 |
|
54.616 |
0.321 |
-0.668 |
0.829 |
0.788 |
12 |
0.716 |
0.817 |
|
0.451 |
-0.461 |
|
|
13 |
0.994 |
|
357.845 |
0.816 |
-0.196 |
0.758 |
0.699 |
14 |
0.789 |
0.688 |
|
-0.031 |
-0.136 |
|
|
15 |
0.720 |
|
259.118 |
-0.130 |
-0.103 |
0.707 |
0.626 |
16 |
0.995 |
0.101 |
|
-0.676 |
-0.190 |
|
|
17 |
0.988 |
|
355.575 |
0.100 |
-0.103 |
0.676 |
0.560 |
18 |
0.807 |
0.655 |
|
-0.008 |
-0.047 |
|
|
19 |
0.284 |
|
102.117 |
-0.137 |
-0.024 |
0.665 |
0.503 |
20 |
0.339 |
1.470 |
|
0.640 |
0.162 |
|
|
21 |
0.073 |
|
26.142 |
1.320 |
0.475 |
0.700 |
0.468 |
22 |
0.731 |
0.792 |
|
0.648 |
0.615 |
|
|
23 |
0.830 |
|
298.839 |
0.382 |
0.686 |
0.733 |
0.441 |
24 |
0.876 |
0.515 |
|
-0.694 |
0.520 |
|
|
25 |
0.589 |
|
211.879 |
-0.438 |
0.425 |
0.746 |
0.408 |
26 |
0.563 |
1.072 |
|
-0.272 |
0.374 |
|
|
27 |
0.639 |
|
230.072 |
-0.688 |
0.240 |
0.740 |
0.379 |
28 |
0.090 |
2.195 |
|
-0.822 |
0.090 |
|
|
29 |
0.151 |
|
54.519 |
1.274 |
0.400 |
0.764 |
0.363 |
30 |
0.050 |
2.450 |
|
1.787 |
0.790 |
|
|
31 |
0.526 |
|
189.422 |
-2.416 |
0.248 |
0.761 |
0.340 |
32 |
0.229 |
1.717 |
|
-0.401 |
0.186 |
|
|
33 |
0.588 |
|
211.529 |
-1.463 |
-0.095 |
0.736 |
0.330 |
34 |
0.041 |
2.530 |
|
-0.898 |
-0.230 |
|
|
35 |
0.074 |
|
26.698 |
2.260 |
0.321 |
0.748 |
0.314 |
36 |
0.645 |
0.936 |
|
1.137 |
0.580 |
|
|
37 |
0.599 |
|
215.769 |
-0.759 |
0.411 |
0.754 |
0.298 |
38 |
0.503 |
1.172 |
|
-0.547 |
0.303 |
|
|
39 |
0.151 |
|
54.305 |
0.684 |
0.467 |
0.770 |
0.288 |
40 |
0.573 |
1.056 |
|
0.952 |
0.673 |
|
|
41 |
0.584 |
|
210.341 |
-0.911 |
0.462 |
0.776 |
0.275 |
42 |
0.307 |
1.537 |
|
-0.533 |
0.352 |
|
|
43 |
0.260 |
|
93.525 |
-0.095 |
0.346 |
0.787 |
0.266 |
44 |
0.069 |
2.313 |
|
1.535 |
0.688 |
|
|
45 |
0.279 |
|
100.511 |
-0.422 |
0.580 |
0.810 |
0.269 |
46 |
0.130 |
2.020 |
|
2.274 |
1.056 |
|
|
47 |
0.521 |
|
187.546 |
-2.003 |
0.577 |
0.820 |
0.260 |
48 |
0.106 |
2.120 |
|
-0.265 |
0.513 |
|
|
49 |
0.152 |
|
54.575 |
1.229 |
0.774 |
0.845 |
0.266 |
50 |
0.106 |
2.118 |
|
1.727 |
1.115 |
|
|
51 |
0.328 |
|
118.133 |
-0.998 |
0.844 |
0.871 |
0.274 |
52 |
0.043 |
2.506 |
|
1.867 |
1.209 |
|
|
53 |
0.710 |
|
255.547 |
-0.625 |
1.008 |
0.884 |
0.271 |
54 |
0.061 |
2.363 |
|
-2.427 |
0.443 |
|
|
55 |
0.980 |
|
352.803 |
2.344 |
0.948 |
0.903 |
0.271 |
56 |
0.973 |
0.233 |
|
-0.296 |
0.842 |
|
|
57 |
0.154 |
|
55.542 |
0.132 |
0.838 |
0.918 |
0.268 |
58 |
0.456 |
1.252 |
|
0.192 |
0.846 |
|
|
59 |
0.832 |
|
299.382 |
0.614 |
0.944 |
0.931 |
0.264 |
60 |
0.664 |
0.905 |
|
-1.091 |
0.670 |
|
|
61 |
0.041 |
|
14.724 |
0.875 |
0.840 |
0.944 |
0.261 |
62 |
0.395 |
1.363 |
|
0.230 |
0.856 |
|
|
63 |
0.763 |
|
274.821 |
0.115 |
0.847 |
0.952 |
0.256 |
64 |
0.093 |
2.180 |
|
-1.359 |
0.525 |
|
|
65 |
0.880 |
|
316.712 |
1.587 |
0.860 |
0.959 |
0.250 |
66 |
0.300 |
1.551 |
|
-1.495 |
0.508 |
|
|
67 |
0.014 |
|
5.147 |
1.545 |
0.836 |
0.970 |
0.247 |
68 |
0.799 |
0.671 |
|
0.139 |
0.833 |
|
|
69 |
0.840 |
|
302.291 |
0.358 |
0.878 |
0.979 |
0.243 |
70 |
0.129 |
2.022 |
|
-0.567 |
0.721 |
|
|
71 |
0.676 |
|
243.416 |
-0.905 |
0.508 |
0.975 |
0.238 |
72 |
0.542 |
1.107 |
|
-1.809 |
0.122 |
|
|
73 |
0.981 |
|
353.328 |
1.099 |
0.392 |
0.972 |
0.232 |
74 |
0.223 |
1.731 |
|
-0.129 |
0.375 |
|
|
75 |
0.396 |
|
142.555 |
-1.374 |
0.094 |
0.966 |
0.228 |
76 |
0.005 |
3.285 |
|
1.053 |
0.357 |
|
|
77 |
0.691 |
|
248.758 |
-1.190 |
0.117 |
0.949 |
0.235 |
78 |
0.163 |
1.904 |
|
-3.062 |
-0.498 |
|
|
79 |
0.083 |
|
29.959 |
1.649 |
-0.052 |
0.940 |
0.233 |
80 |
0.511 |
1.159 |
|
0.951 |
0.203 |
|
|
81 |
0.235 |
|
84.510 |
0.111 |
0.255 |
0.938 |
0.228 |
82 |
0.233 |
1.706 |
|
1.153 |
0.523 |
|
|
83 |
0.669 |
|
240.718 |
-0.834 |
0.344 |
0.932 |
0.224 |
84 |
0.013 |
2.937 |
|
-1.488 |
0.042 |
|
|
85 |
0.609 |
|
219.258 |
-2.274 |
-0.399 |
0.909 |
0.242 |
86 |
0.355 |
1.439 |
|
-1.859 |
-0.709 |
|
|
87 |
0.212 |
|
76.361 |
0.339 |
-0.522 |
0.893 |
0.249 |
88 |
0.815 |
0.639 |
|
1.398 |
-0.127 |
|
|
89 |
0.105 |
|
37.867 |
0.505 |
0.040 |
0.886 |
0.246 |
90 |
0.601 |
1.009 |
|
0.393 |
0.168 |
|
|
91 |
0.905 |
|
325.967 |
0.836 |
0.377 |
0.885 |
0.240 |
92 |
0.775 |
0.714 |
|
-0.565 |
0.269 |
|
|
93 |
0.262 |
|
94.405 |
-0.055 |
0.279 |
0.885 |
0.235 |
94 |
0.646 |
0.934 |
|
0.712 |
0.452 |
|
|
95 |
0.768 |
|
276.555 |
0.107 |
0.479 |
0.885 |
0.231 |
96 |
0.971 |
0.242 |
|
-0.928 |
0.283 |
|
|
97 |
0.129 |
|
46.607 |
0.166 |
0.339 |
0.884 |
0.226 |
98 |
0.767 |
0.729 |
|
0.176 |
0.392 |
|
|
99 |
0.082 |
|
29.586 |
0.634 |
0.537 |
0.888 |
0.222 |
100 |
0.064 |
2.343 |
|
0.360 |
0.610 |
|
|
Таблица №2.
Номер отсчёта |
10 |
20 |
30 |
40 |
50 |
60 |
70 |
80 |
90 |
100 |
Оценка мат. ожидания |
1.007 |
0.665 |
0.764 |
0.770 |
0.845 |
0.931 |
0.979 |
0.940 |
0.886 |
0.888 |
Оценка дисперсии. |
0.748 |
0.503 |
0.363 |
0.288 |
0.266 |
0.264 |
0.243 |
0.233 |
0.246 |
0.222 |