univariate Skew-Normal distribution of Azzalini
class follows scipy.stats.distributions pattern
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(*args, **kwds) | est_loc_scale is deprecated! |
expect(**kwds[, func, args, loc, scale, lb, ...]) | calculate expected value of a function with respect to the distribution |
fit(data, *args, **kwds) | Return MLEs for shape, location, and scale parameters from data. |
fit_loc_scale(data, *args) | Estimate loc and scale parameters from data using 1st and 2nd moments |
freeze(*args, **kwds) | |
interval(alpha, *args, **kwds) | Confidence interval with equal areas around the median |
isf(q, *args, **kwds) | Inverse survival function at q of the given RV. |
logcdf(x, *args, **kwds) | Log of the cumulative distribution function at x of the given RV. |
logpdf(x, *args, **kwds) | Log of the probability density function at x of the given RV. |
logsf(x, *args, **kwds) | Log of the Survival function log(1-cdf) at x of the given RV. |
mean(*args, **kwds) | Mean of the distribution |
median(*args, **kwds) | Median of the distribution. |
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 |
std(*args, **kwds) | Standard deviation of the distribution. |
var(*args, **kwds) | Variance of the distribution |