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Fonction brunnermunzel - module scipy.stats.mstats

Signature de la fonction brunnermunzel

def brunnermunzel(x, y, alternative='two-sided', distribution='t') 

Description

brunnermunzel.__doc__

    Computes the Brunner-Munzel test on samples x and y

    Missing values in `x` and/or `y` are discarded.

    Parameters
    ----------
    x, y : array_like
        Array of samples, should be one-dimensional.
    alternative :  'less', 'two-sided', or 'greater', optional
        Whether to get the p-value for the one-sided hypothesis ('less'
        or 'greater') or for the two-sided hypothesis ('two-sided').
        Defaults value is 'two-sided' .
    distribution: 't' or 'normal', optional
        Whether to get the p-value by t-distribution or by standard normal
        distribution.
        Defaults value is 't' .

    Returns
    -------
    statistic : float
        The Brunner-Munzer W statistic.
    pvalue : float
        p-value assuming an t distribution. One-sided or
        two-sided, depending on the choice of `alternative` and `distribution`.

    See Also
    --------
    mannwhitneyu : Mann-Whitney rank test on two samples.

    Notes
    -----
    For more details on `brunnermunzel`, see `stats.brunnermunzel`.