Non-parametric 1d distribution – derives cdf based on stored values.
Introduced to complement parametric distributions present in scipy.stats.
Methods
cdf(x) | Returns the cdf value at x. |
fit(dist_samples) | |
rcdf(x) | Returns cdf of reversed distribution (i.e. |
Parameters: | dist_samples : ndarray
correction : {‘clip’} or None, optional
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Methods
cdf(x) | Returns the cdf value at x. |
fit(dist_samples) | |
rcdf(x) | Returns cdf of reversed distribution (i.e. |
Returns the cdf value at x.
Returns cdf of reversed distribution (i.e. if integrating from right tail)
Necessary for hypothesis testing in the right tail. It is really just a 1 - cdf(x) + pmf(x) == sf(x)+pmf(x) for a discrete distribution