Driven IFS and Data Analysis

Depth of History

On the left is the IFS driven by 10000 iterates of the s = 3.99 logistic map with equal-size bins.
Address Stats gives these occupancies
3
1879
4
3513
1
2990
2
1618
On the right is an IFS driven by a uniform random data set, with the bin boundaries set to given the length 1 address occupanices of the logistic driven IFS.
Certainly we don't need careful statistics to believe the differences between these pictures are significant. But to prepare for data sets that are less obviously different, we examine the length 2 address occupanices, from the Address Stats menu.
33
14
34
808
43
1865
44
0
31
1057
32
0
41
31
42
1617
13
0
14
1835
23
0
24
870
11
1154
12
0
21
748
22
0
33
330
34
632
43
647
44
1252
31
623
32
294
41
1016
42
597
13
588
14
1063
23
314
24
566
11
860
12
479
21
490
22
248
The most obvious differences lie in the addresses 12, 22, 13, 23, 32, and 44, empty in the IFS driven by the logistic map, not at all in the random IFS.
The values of corresponding length 2 addresses are substantially different, but are they significantly different?
Answering this question requires proper statistical hypothesis testing. Here is an example to give an indication of the issues involved.

Return to Depth of History.