Exponential

Exponential distribution.

Usage

var exponential = require( '@stdlib/stats/base/dists/exponential' );

exponential

Exponential distribution.

var dist = exponential;
// returns {...}

The namespace contains the following distribution functions:

cdf( x, lambda ): exponential distribution cumulative distribution function.
logcdf( x, lambda ): evaluate the natural logarithm of the cumulative distribution function for an exponential distribution.
logpdf( x, lambda ): evaluate the natural logarithm of the probability density function (PDF) for an exponential distribution.
mgf( t, lambda ): exponential distribution moment-generating function (MGF).
pdf( x, lambda ): exponential distribution probability density function (PDF).
quantile( p, lambda ): exponential distribution quantile function.

The namespace contains the following functions for calculating distribution properties:

entropy( lambda ): exponential distribution differential entropy.
kurtosis( lambda ): exponential distribution excess kurtosis.
mean( lambda ): exponential distribution expected value.
median( lambda ): exponential distribution median.
mode( lambda ): exponential distribution mode.
skewness( lambda ): exponential distribution skewness.
stdev( lambda ): exponential distribution standard deviation.
variance( lambda ): exponential distribution variance.

The namespace contains a constructor function for creating an exponential distribution object.

Exponential( [lambda] ): exponential distribution constructor.

var Exponential = require( '@stdlib/stats/base/dists/exponential' ).Exponential;

var dist = new Exponential( 2.0 );

var y = dist.logpdf( 0.8 );
// returns ~-0.907

Examples

var objectKeys = require( '@stdlib/utils/keys' );
var exponential = require( '@stdlib/stats/base/dists/exponential' );

console.log( objectKeys( exponential ) );