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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 |
Rayleigh
Rayleigh distribution.
Usage
var rayleigh = require( '@stdlib/stats/base/dists/rayleigh' );
rayleigh
Rayleigh distribution.
var dist = rayleigh;
// returns {...}
The namespace contains the following distribution functions:
cdf( x, sigma )
: Rayleigh distribution cumulative distribution function.logcdf( x, sigma )
: Rayleigh distribution logarithm of cumulative distribution function.logpdf( x, sigma )
: Rayleigh distribution logarithm of probability density function (PDF).mgf( t, sigma )
: Rayleigh distribution moment-generating function (MGF).pdf( x, sigma )
: Rayleigh distribution probability density function (PDF).quantile( p, sigma )
: Rayleigh distribution quantile function.
The namespace contains the following functions for calculating distribution properties:
entropy( sigma )
: Rayleigh distribution differential entropy.kurtosis( sigma )
: Rayleigh distribution excess kurtosis.mean( sigma )
: Rayleigh distribution expected value.median( sigma )
: Rayleigh distribution median.mode( sigma )
: Rayleigh distribution mode.skewness( sigma )
: Rayleigh distribution skewness.variance( sigma )
: Rayleigh distribution variance.
The namespace contains a constructor function for creating a Rayleigh distribution object.
Rayleigh( [sigma] )
: Rayleigh distribution constructor.
var Rayleigh = require( '@stdlib/stats/base/dists/rayleigh' ).Rayleigh;
var dist = new Rayleigh( 2.0 );
var y = dist.pdf( 0.8 );
// returns ~0.185
Examples
var objectKeys = require( '@stdlib/utils/keys' );
var rayleigh = require( '@stdlib/stats/base/dists/rayleigh' );
console.log( objectKeys( rayleigh ) );