
{{alias}}( [λ] )
    Returns an exponential distribution object.

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

    Returns
    -------
    exponential: Object
        Distribution instance.

    exponential.lambda: number
        Rate parameter. If set, the value must be greater than `0`.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Examples
    --------
    > var exponential = {{alias}}( 6.0 );
    > exponential.lambda
    6.0
    > exponential.entropy
    ~-0.792
    > exponential.kurtosis
    6.0
    > exponential.mean
    ~0.167
    > exponential.median
    ~0.116
    > exponential.mode
    0.0
    > exponential.skewness
    2.0
    > exponential.stdev
    ~0.167
    > exponential.variance
    ~0.028
    > exponential.cdf( 1.0 )
    ~0.998
    > exponential.logcdf( 1.0 )
    ~-0.002
    > exponential.logpdf( 1.5 )
    ~-7.208
    > exponential.mgf( -0.5 )
    ~0.923
    > exponential.pdf( 1.5 )
    ~0.001
    > exponential.quantile( 0.5 )
    ~0.116

    See Also
    --------

