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python:

        .. math::

            f(x) =

            \text{P}(x) =

            \begin{cases}

            0 & \text{for } x \lt l, \\

            \frac{2(x-l)}{(h-l)(m-l)} &

        .. math::

            f(x) = \frac{1}{x \sigma \sqrt{2 \pi}}

            \text{P}(x) = \frac{1}{x \sigma \sqrt{2 \pi}}

            \exp{\left(- \frac{(\ln{x} - \mu)^2}{2 \sigma ^2}\right)}

        """

        return exp(self.normalvariate(mu, sigma))

        The probability density function for the exponential

        distribution is defined by

        :math:`f(x)= \lambda e^{-\lambda x}` where :math:`x\ge 0`"""

        :math:`\text{P}(x)= \lambda e^{-\lambda x}` where :math:`x\ge 0`"""

        # 1.0 - random() is here used to prevent taking the log of 0.0

        return -log(1.0 - self.random()) / lambd

        .. math::

            f(x) = \frac{e^{\kappa \cos{(x - \mu)}}}{2 \pi I_0(\kappa)}

            \text{P}(x) = \frac{e^{\kappa \cos{(x - \mu)}}}{2 \pi I_0(\kappa)}

        where :math:`I_0(\kappa)` is the modified Bessel function

        of order 0.

        .. math::

            f(x) = \frac{x^{\alpha - 1} e^{-\frac{x}{\beta}}}

            \text{P}(x) = \frac{x^{\alpha - 1} e^{-\frac{x}{\beta}}}

            {\Gamma(\alpha) \beta^{\alpha}}

        Caution:

        .. math::

            f(x) = \frac{1}{\sigma \sqrt{2 \pi}}

            \text{P}(x) = \frac{1}{\sigma \sqrt{2 \pi}}

            e^{-\frac{1}{2} \left(\frac{x - \mu}{\sigma}\right)^2}

        Tip:

        .. math::

            f(x) = x^{\alpha - 1} (1 - x)^{\beta - 1}

            \text{P}(x) = x^{\alpha - 1} (1 - x)^{\beta - 1}

            \frac{\Gamma(\alpha + \beta)}{\Gamma(\alpha)\Gamma(\beta)}

        Returns:

        .. math::

            f(x) = \frac{\alpha}{x^{\alpha + 1}}

            \text{P}(x) = \frac{\alpha}{x^{\alpha + 1}}

        Raises:

            ValueError: if `alpha` is zero.

        .. math::

            f(x) = \frac{\beta}{\alpha}

            \text{P}(x) = \frac{\beta}{\alpha}

            \left(\frac{x}{\alpha}\right)^{k-1}

            e^{-(x/\alpha)^k}