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

Available constructors:
    Burr(*c=1.0, k=1.0*)

Parameters
----------
c : float, :math:`c > 0`
k : float, :math:`k > 0`

Notes
-----
Its probability density function is defined as:

.. math::

    f_X(x) = c k \frac{x^{c - 1}}{(1 + x^c)^{k + 1}}, \quad x \in \Rset^{+*}

with :math:`c, k > 0`.

Its only, first-order moment is:

.. math::

    \Expect{X} = k {\rm B}(k - 1 / c, 1 + 1 / c)

where :math:`\rm B` denotes Euler's beta function.

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

>>> import openturns as ot
>>> distribution = ot.Burr(2.0, 3.0)

Draw a sample:

>>> sample = distribution.getSample(5)"

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%feature("docstring") OT::Burr::getC
"Accessor to the parameter :math:`c`.

Returns
-------
c : float"

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%feature("docstring") OT::Burr::getK
"Accessor to the parameter :math:`k`.

Returns
-------
k : float"

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%feature("docstring") OT::Burr::setC
"Accessor to the parameter :math:`c`.

Parameters
----------
c : float, :math:`c > 0`"

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%feature("docstring") OT::Burr::setK
"Accessor to the parameter :math:`k`.

Parameters
----------
k : float, :math:`k > 0`"
