
{{alias}}( [a, b] )
    Returns an arcsine distribution object.

    Parameters
    ----------
    a: number (optional)
        Minimum support. Must be less than `b`. Default: `0.0`.

    b: number (optional)
        Maximum support. Must be greater than `a`. Default: `1.0`.

    Returns
    -------
    arcsine: Object
        Distribution instance.

    arcsine.a: number
        Minimum support. If set, the value must be less than `b`.

    arcsine.b: number
        Maximum support. If set, the value must be greater than `a`.

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

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

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

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

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

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

    arcsine.stdev: number
        Read-only property which returns the standard deviation.

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

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

    arcsine.logcdf: Function
        Evaluates the natural logarithm of the cumulative distribution function
        (CDF).

    arcsine.logpdf: Function
        Evaluates the natural logarithm of the probability density function
        (PDF).

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

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

    Examples
    --------
    > var arcsine = {{alias}}( 0.0, 1.0 );
    > arcsine.a
    0.0
    > arcsine.b
    1.0
    > arcsine.entropy
    ~-0.242
    > arcsine.kurtosis
    -1.5
    > arcsine.mean
    0.5
    > arcsine.median
    0.5
    > arcsine.mode
    0.0
    > arcsine.skewness
    0.0
    > arcsine.stdev
    ~0.354
    > arcsine.variance
    0.125
    > arcsine.cdf( 0.8 )
    ~0.705
    > arcsine.logcdf( 0.8 )
    ~-0.35
    > arcsine.logpdf( 0.4 )
    ~-0.431
    > arcsine.pdf( 0.8 )
    ~0.796
    > arcsine.quantile( 0.8 )
    ~0.905

    See Also
    --------

