[Index for export/lyngby]
[p, d] = lyngby_ks_test(v1, v2, tol)
lyngby_ks_test - Kolmogorov-Smirnov test of two arrays.
function [p, d] = lyngby_ks_test(v1, v2, tol)
Input: V1, V2 The locations of the samples.
Output: p The probability of the KS statistics to be greater
than observed on V1 and V2,
d The observed KS statistics.
The Kolmogorov-Smirnov gives the significance level of V1 and
V2 being sampled from the same distribution.
When PROB is close to 0, the samples are probably from
To test a sample V against a distribution, produce a *big* sample VS
from this distribution, and test KTEST(V, VS).
See also: lyngby_ks_prob, lyngby_ks_main
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