time-to-botec/squiggle/node_modules/@stdlib/stats/base/dists/exponential/README.md

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 ) );