`scipy.stats._ksstats:kolmogn`

source: /scipy/stats/_ksstats.py :505

Signature

def kolmogn ( n , x , cdf = True )

Summary

Computes the CDF for the two-sided Kolmogorov-Smirnov distribution.

Extended Summary

The two-sided Kolmogorov-Smirnov distribution has as its CDF Pr(D_n <= x), for a sample of size n drawn from a distribution with CDF F(t), where D_n &= sup_t |F_n(t) - F(t)|, and $F_{n} (t)$ is the Empirical Cumulative Distribution Function of the sample.

Parameters

n : integer, array_like: the number of samples
x : float, array_like: The K-S statistic, float between 0 and 1
cdf : bool, optional: whether to compute the CDF(default=true) or the SF.

Returns

cdf : ndarray: CDF (or SF it cdf is False) at the specified locations.
: The return value has shape the result of numpy broadcasting n and x.

Aliases

scipy.stats._continuous_distns.kolmogn