Table 2.
Average estimated information transfer as a function of samples per matrix category (N∕m) for m×m matrices of size m=2,…,10. Matrices filled with data sampled from a uniform distribution using the strict sampling constraint described in the text. The true value for information transfer should be 0%.
(%)N∕m | Matrix size (m×m) | ||||||||
---|---|---|---|---|---|---|---|---|---|
2×2 | 3×3 | 4×4 | 5×5 | 6×6 | 7×7 | 8×8 | 9×9 | 10×10 | |
10 | 4.0 | 7.0 | 9.6 | 11.9 | 14.1 | 15.9 | 17.7 | 19.3 | 20.8 |
20 | 1.9 | 3.2 | 4.4 | 5.5 | 6.5 | 7.5 | 8.4 | 9.4 | 10.2 |
30 | 1.2 | 2.1 | 2.8 | 3.5 | 4.2 | 4.8 | 5.4 | 6.0 | 6.5 |
40 | 0.9 | 1.6 | 2.1 | 2.6 | 3.1 | 3.5 | 3.9 | 4.4 | 4.8 |
50 | 0.7 | 1.2 | 1.6 | 2.0 | 2.4 | 2.8 | 3.1 | 3.4 | 3.7 |
100 | 0.4 | 0.6 | 0.8 | 1.0 | 1.2 | 1.3 | 1.5 | 1.7 | 1.8 |