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

    Parameters
    ----------
    a: integer (optional)
        Minimum support. Must be an integer smaller than `b`. Default: `0`.

    b: integer (optional)
        Maximum support. Must be an integer greater than `a`. Default: `1`.

    Returns
    -------
    discreteUniform: Object
        Distribution instance.

    discreteUniform.a: integer
        Minimum support. If set, the value must be an integer smaller than or
        equal to `b`.

    discreteUniform.b: integer
        Maximum support. If set, the value must be an integer greater than or
        equal to `a`.

    discreteUniform.entropy: number
        Read-only property which returns the entropy.

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

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

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

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

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

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

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

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

    discreteUniform.logpmf: Function
        Evaluates the natural logarithm of the probability mass function (PMF).

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

    discreteUniform.pmf: Function
        Evaluates the probability mass function (PMF).

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

    Examples
    --------
    > var discreteUniform = {{alias}}( -2, 2 );
    > discreteUniform.a
    -2
    > discreteUniform.b
    2
    > discreteUniform.entropy
    ~1.609
    > discreteUniform.kurtosis
    -1.3
    > discreteUniform.mean
    0.0
    > discreteUniform.median
    0.0
    > discreteUniform.skewness
    0.0
    > discreteUniform.stdev
    ~1.414
    > discreteUniform.variance
    2.0
    > discreteUniform.cdf( 0.8 )
    0.6
    > discreteUniform.logcdf( 0.5 )
    ~-0.511
    > discreteUniform.logpmf( 1.0 )
    ~-1.609
    > discreteUniform.mgf( 0.8 )
    ~1.766
    > discreteUniform.pmf( 0.0 )
    0.2
    > discreteUniform.quantile( 0.8 )
    2.0

    See Also
    --------

