univariate Skew-Normal distribution of Azzalini
class follows scipy.stats.distributions pattern but with __init__
Methods
| cdf(x, *args, **kwds) | Cumulative distribution function at x of the given RV. |
| entropy(*args, **kwds) | Differential entropy of the RV. |
| est_loc_scale(data, *args) | |
| fit(data, *args, **kwds) | |
| freeze(*args, **kwds) | |
| isf(q, *args, **kwds) | Inverse survival function at q of the given RV. |
| moment(n, *args) | n’th order non-central moment of distribution |
| nnlf(theta, x) | |
| pdf(x, *args, **kwds) | Probability density function at x of the given RV. |
| ppf(q, *args, **kwds) | Percent point function (inverse of cdf) at q of the given RV. |
| rvs(*args, **kwds) | Random variates of given type. |
| sf(x, *args, **kwds) | Survival function (1-cdf) at x of the given RV. |
| stats(*args, **kwds) | Some statistics of the given RV |