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scikits.statsmodels.sandbox.distributions.extras.SkewNorm2_gen

class scikits.statsmodels.sandbox.distributions.extras.SkewNorm2_gen(momtype=1, a=None, b=None, xa=-10.0, xb=10.0, xtol=1e-14, badvalue=None, name=None, longname=None, shapes=None, extradoc=None)[source]

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(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) Negative log likelihood function.
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

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