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%feature("docstring") OT::InverseChiSquare
"InverseChiSquare distribution.

Helper class for defining the Inverse ChiSquare distribution which is the inverse of a :math:`\\\\chi^2` distribution.

Available constructors:
    InverseChiSquare(*nu*)

Parameters
----------
nu : float, :math:`\\\\nu > 0`
    Degrees of freedom.  
    By default, :math:`\\\\nu =1`.
     

Notes
-----
:math:`X` follows an Inverse ChiSquare distribution of parameter :math:`\\\\nu` means that :math:`\\\\dfrac{1}{X}` follows the :math:`\\\\chi^2(\\\\nu)` distribution, with :math:`\\\\nu>0`.
The Inverse ChiSquare distribution parametered by :math:`\\\\nu` is exactly the :math:`InverseGamma(\\\\dfrac{\\\\nu}{2}, 2)` distribution.

Its probability density function is defined as:

.. math::

    f_X(x) = \\\\dfrac{\\\\exp \\\\left( -\\\\dfrac{1}{2 x}\\\\right)}{\\\\Gamma \\\\left(\\\\dfrac{\\\\nu}{2}\\\\right)\\\\lambda^{\\\\frac{\\\\nu}{2}}x^{\\\\frac{\\\\nu}{2}+1}}, \\\\quad x \\\\in [0; +\\\\infty[

with :math:`\\\\nu > 0`.

Its first moments are:

.. math::
    :nowrap:

    \\\\begin{eqnarray*}
        \\\\Expect{X} & = & \\\\dfrac{1}{\\\\nu-2}  \\\\quad \\\\text{if } \\\\nu>2\\\\\\\\
        \\\\Var{X} & = &\\\\dfrac{2}{(\\\\nu-2)^2(\\\\nu-4)}\\\\quad \\\\text{if } \\\\nu>4
    \\\\end{eqnarray*}


Examples
--------
Create a distribution:

>>> import openturns as ot
>>> distribution = ot.InverseChiSquare(1.)

Draw a sample:

>>> sample = distribution.getSample(10)"

// ---------------------------------------------------------------------

%feature("docstring") OT::InverseChiSquare::getNu
"Accessor to the  parameter :math:`nu`.

Returns
-------
nu : float
    Degrees of freedom."

// ---------------------------------------------------------------------

%feature("docstring") OT::InverseChiSquare::setNu
"Accessor to the distribution parameter :math:`\\\\nu`.

Parameters
----------
nu : float
    Degrees of freedom."