(name, xm, alpha)
return rv(name, ParetoDistribution, (xm, alpha))
r"""
    Create a continuous random variable with the Pareto distribution.

    The density of the Pareto distribution is given by

    .. math::
        f(x) := \frac{\alpha\,x_m^\alpha}{x^{\alpha+1}}

    with :math:`x \in [x_m,\infty]`.

    Parameters
    ==========

    xm : Real number, `x_m > 0`, a scale
    alpha : Real number, `\alpha > 0`, a shape

    Returns
    =======

    A RandomSymbol.

    Examples
    ========

    >>> from sympy.stats import Pareto, density
    >>> from sympy import Symbol

    >>> xm = Symbol("xm", positive=True)
    >>> beta = Symbol("beta", positive=True)
    >>> z = Symbol("z")

    >>> X = Pareto("x", xm, beta)

    >>> density(X)(z)
    beta*xm**beta*z**(-beta - 1)

    References
    ==========

    .. [1] http://en.wikipedia.org/wiki/Pareto_distribution
    .. [2] http://mathworld.wolfram.com/ParetoDistribution.html
r"""
    Create a continuous random variable with the Pareto distribution.
r Create a continuous random variable with the Pareto distribution .
def Pareto(name, xm, alpha):
    r"""
    Create a continuous random variable with the Pareto distribution.

    The density of the Pareto distribution is given by

    .. math::
        f(x) := \frac{\alpha\,x_m^\alpha}{x^{\alpha+1}}

    with :math:`x \in [x_m,\infty]`.

    Parameters
    ==========

    xm : Real number, `x_m > 0`, a scale
    alpha : Real number, `\alpha > 0`, a shape

    Returns
    =======

    A RandomSymbol.

    Examples
    ========

    >>> from sympy.stats import Pareto, density
    >>> from sympy import Symbol

    >>> xm = Symbol("xm", positive=True)
    >>> beta = Symbol("beta", positive=True)
    >>> z = Symbol("z")

    >>> X = Pareto("x", xm, beta)

    >>> density(X)(z)
    beta*xm**beta*z**(-beta - 1)

    References
    ==========

    .. [1] http://en.wikipedia.org/wiki/Pareto_distribution
    .. [2] http://mathworld.wolfram.com/ParetoDistribution.html
    """

    return rv(name, ParetoDistribution, (xm, alpha))
def Pareto ( name , xm , alpha ) : return rv ( name , ParetoDistribution , ( xm , alpha ) )