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

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

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

    Returns
    -------
    uniform: Object
        Distribution instance.

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

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

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

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

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

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

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

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

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

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

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

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

    uniform.mgf: Function
        Evaluates the moment-generating function (MGF).

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

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

    Examples
    --------
    > var uniform = {{alias}}( 0.0, 1.0 );
    > uniform.a
    0.0
    > uniform.b
    1.0
    > uniform.entropy
    0.0
    > uniform.kurtosis
    -1.2
    > uniform.mean
    0.5
    > uniform.median
    0.5
    > uniform.skewness
    0.0
    > uniform.stdev
    ~0.289
    > uniform.variance
    ~0.083
    > uniform.cdf( 0.8 )
    0.8
    > uniform.logcdf( 0.5 )
    ~-0.693
    > uniform.logpdf( 1.0 )
    ~-0.0
    > uniform.mgf( 0.8 )
    ~1.532
    > uniform.pdf( 0.8 )
    1.0
    > uniform.quantile( 0.8 )
    0.8

    See Also
    --------

