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.. | ||
cdf | ||
ctor | ||
docs/types | ||
entropy | ||
kurtosis | ||
lib | ||
logcdf | ||
logpdf | ||
mean | ||
median | ||
mgf | ||
mode | ||
quantile | ||
skewness | ||
stdev | ||
variance | ||
package.json | ||
README.md |
Gumbel
Gumbel distribution.
Usage
var gumbel = require( '@stdlib/stats/base/dists/gumbel' );
gumbel
Gumbel distribution.
var dist = gumbel;
// returns {...}
The namespace contains the following distribution functions:
cdf( x, mu, beta )
: Gumbel distribution cumulative distribution function.logcdf( x, mu, beta )
: Gumbel distribution logarithm of cumulative distribution function.logpdf( x, mu, beta )
: Gumbel distribution logarithm of probability density function (PDF).mgf( t, mu, beta )
: Gumbel distribution moment-generating function (MGF).pdf( x, mu, beta )
: Gumbel distribution probability density function (PDF).quantile( p, mu, beta )
: Gumbel distribution quantile function.
The namespace contains the following functions for calculating distribution properties:
entropy( mu, beta )
: Gumbel distribution differential entropy.kurtosis( mu, beta )
: Gumbel distribution excess kurtosis.mean( mu, beta )
: Gumbel distribution expected value.median( mu, beta )
: Gumbel distribution median.mode( mu, beta )
: Gumbel distribution mode.skewness( mu, beta )
: Gumbel distribution skewness.stdev( mu, beta )
: Gumbel distribution standard deviation.variance( mu, beta )
: Gumbel distribution variance.
The namespace contains a constructor function for creating a Gumbel distribution object.
Gumbel( [mu, beta] )
: Gumbel distribution constructor.
var Gumbel = require( '@stdlib/stats/base/dists/gumbel' ).Gumbel;
var dist = new Gumbel( 2.0, 4.0 );
var y = dist.pdf( 2.0 );
// returns ~0.092
Examples
var objectKeys = require( '@stdlib/utils/keys' );
var gumbel = require( '@stdlib/stats/base/dists/gumbel' );
console.log( objectKeys( gumbel ) );