
{{alias}}( [α, β] )
    Returns a Pareto (Type I) distribution object.

    Parameters
    ----------
    α: number (optional)
        Shape parameter. Must be greater than `0`. Default: `1.0`.

    β: number (optional)
        Scale parameter. Must be greater than `0`. Default: `1.0`.

    Returns
    -------
    pareto1: Object
        Distribution instance.

    pareto1.alpha: number
        Shape parameter. If set, the value must be greater than `0`.

    pareto1.beta: number
        Scale parameter. If set, the value must be greater than `0`.

    pareto1.entropy: number
        Read-only property which returns the differential entropy.

    pareto1.kurtosis: number
        Read-only property which returns the excess kurtosis.

    pareto1.mean: number
        Read-only property which returns the expected value.

    pareto1.median: number
        Read-only property which returns the median.

    pareto1.mode: number
        Read-only property which returns the mode.

    pareto1.skewness: number
        Read-only property which returns the skewness.

    pareto1.variance: number
        Read-only property which returns the variance.

    pareto1.cdf: Function
        Evaluates the cumulative distribution function (CDF).

    pareto1.logcdf: Function
        Evaluates the natural logarithm of the cumulative distribution function
        (logCDF).

    pareto1.logpdf: Function
        Evaluates the natural logarithm of the probability density function
        (logPDF).

    pareto1.pdf: Function
        Evaluates the probability density function (PDF).

    pareto1.quantile: Function
        Evaluates the quantile function at probability `p`.

    Examples
    --------
    > var pareto1 = {{alias}}( 6.0, 5.0 );
    > pareto1.alpha
    6.0
    > pareto1.beta
    5.0
    > pareto1.entropy
    ~0.984
    > pareto1.kurtosis
    ~35.667
    > pareto1.mean
    6.0
    > pareto1.median
    ~5.612
    > pareto1.mode
    5.0
    > pareto1.skewness
    ~3.81
    > pareto1.variance
    1.5
    > pareto1.cdf( 7.0 )
    ~0.867
    > pareto1.logcdf( 7.0 )
    ~-0.142
    > pareto1.logpdf( 5.0 )
    ~0.182
    > pareto1.pdf( 5.0 )
    1.2
    > pareto1.quantile( 0.8 )
    ~6.538

    See Also
    --------

