statsmodels.sandbox.distributions.extras.NormExpan_gen
-
class statsmodels.sandbox.distributions.extras.NormExpan_gen(args, **kwds)
[source] -
Gram-Charlier Expansion of Normal distribution
class follows scipy.stats.distributions pattern but with __init__
Methods
cdf
(x, *args, **kwds)Cumulative distribution function of the given RV. entropy
(*args, **kwds)Differential entropy of the RV. est_loc_scale
(*args, **kwds)est_loc_scale
is deprecated!expect
([func, args, loc, scale, lb, ub, ...])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)Freeze the distribution for the given arguments. 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 of the given RV. mean
(*args, **kwds)Mean of the distribution median
(*args, **kwds)Median of the distribution. moment
(n, *args, **kwds)n?th order non-central moment of distribution. nnlf
(theta, x)Return negative loglikelihood 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 std
(*args, **kwds)Standard deviation of the distribution. var
(*args, **kwds)Variance of the distribution
Please login to continue.