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Fonction erlang - module scipy.stats

Signature de la fonction erlang

def erlang(*args, **kwds) 

Description

erlang.__doc__

An Erlang continuous random variable.

    As an instance of the `rv_continuous` class, `erlang` object inherits from it
    a collection of generic methods (see below for the full list),
    and completes them with details specific for this particular distribution.
    
    Methods
    -------
    rvs(a, loc=0, scale=1, size=1, random_state=None)
        Random variates.
    pdf(x, a, loc=0, scale=1)
        Probability density function.
    logpdf(x, a, loc=0, scale=1)
        Log of the probability density function.
    cdf(x, a, loc=0, scale=1)
        Cumulative distribution function.
    logcdf(x, a, loc=0, scale=1)
        Log of the cumulative distribution function.
    sf(x, a, loc=0, scale=1)
        Survival function  (also defined as ``1 - cdf``, but `sf` is sometimes more accurate).
    logsf(x, a, loc=0, scale=1)
        Log of the survival function.
    ppf(q, a, loc=0, scale=1)
        Percent point function (inverse of ``cdf`` --- percentiles).
    isf(q, a, loc=0, scale=1)
        Inverse survival function (inverse of ``sf``).
    moment(n, a, loc=0, scale=1)
        Non-central moment of order n
    stats(a, loc=0, scale=1, moments='mv')
        Mean('m'), variance('v'), skew('s'), and/or kurtosis('k').
    entropy(a, loc=0, scale=1)
        (Differential) entropy of the RV.
    fit(data)
        Parameter estimates for generic data.
        See `scipy.stats.rv_continuous.fit <https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.rv_continuous.fit.html#scipy.stats.rv_continuous.fit>`__ for detailed documentation of the
        keyword arguments.
    expect(func, args=(a,), loc=0, scale=1, lb=None, ub=None, conditional=False, **kwds)
        Expected value of a function (of one argument) with respect to the distribution.
    median(a, loc=0, scale=1)
        Median of the distribution.
    mean(a, loc=0, scale=1)
        Mean of the distribution.
    var(a, loc=0, scale=1)
        Variance of the distribution.
    std(a, loc=0, scale=1)
        Standard deviation of the distribution.
    interval(alpha, a, loc=0, scale=1)
        Endpoints of the range that contains fraction alpha [0, 1] of the
        distribution

    See Also
    --------
    gamma

    Notes
    -----
    The Erlang distribution is a special case of the Gamma distribution, with
    the shape parameter `a` an integer.  Note that this restriction is not
    enforced by `erlang`. It will, however, generate a warning the first time
    a non-integer value is used for the shape parameter.

    Refer to `gamma` for examples.