pKolmogorov¶
- pKolmogorov(n, x, tail=False)¶
Cumulative distribution function of a Kolmogorov distribution.
- Parameters:
- nint
The number of the iid observations.
- xfloat
Location.
- tailbool, optional
Tail flag. Default value is False. If True, the complementary CDF is computed.
- Returns:
- pfloat
The CDF or the complementary CDF at x.
Notes
The Kolmogorov distribution is the distribution of where is the empirical cumulative distribution built from independent and identically distributed observations and the cumulative distribution to be tested.
We use the algorithm and the selection strategy is described in [simard2011].
Examples
>>> import openturns as ot >>> cdf = ot.DistFunc.pKolmogorov(100, 0.1)
Examples using the function¶
Kolmogorov-Smirnov : understand the p-value
Kolmogorov-Smirnov : understand the p-value
Kolmogorov-Smirnov : get the statistics distribution
Kolmogorov-Smirnov : get the statistics distribution