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.. | ||
cdf | ||
ctor | ||
docs/types | ||
entropy | ||
kurtosis | ||
lib | ||
logcdf | ||
logpdf | ||
mean | ||
median | ||
mode | ||
quantile | ||
skewness | ||
stdev | ||
variance | ||
package.json | ||
README.md |
Arcsine
Arcsine distribution.
Usage
var arcsine = require( '@stdlib/stats/base/dists/arcsine' );
arcsine
Arcsine distribution.
var dist = arcsine;
// returns {...}
The namespace contains the following distribution functions:
cdf( x, a, b )
: arcsine distribution cumulative distribution function.logcdf( x, a, b )
: arcsine distribution logarithm of cumulative distribution function.logpdf( x, a, b )
: arcsine distribution logarithm of probability density function (PDF).pdf( x, a, b )
: arcsine distribution probability density function (PDF).quantile( p, a, b )
: arcsine distribution quantile function.
The namespace contains the following functions for calculating distribution properties:
entropy( a, b )
: arcsine distribution differential entropy.kurtosis( a, b )
: arcsine distribution excess kurtosis.mean( a, b )
: arcsine distribution expected value.median( a, b )
: arcsine distribution median.mode( a, b )
: arcsine distribution mode.skewness( a, b )
: arcsine distribution skewness.stdev( a, b )
: arcsine distribution standard deviation.variance( a, b )
: arcsine distribution variance.
The namespace contains a constructor function for creating an arcsine distribution object.
Arcsine( [a, b] )
: arcsine distribution constructor.
var Arcsine = require( '@stdlib/stats/base/dists/arcsine' ).Arcsine;
var dist = new Arcsine( 2.0, 4.0 );
var mu = dist.mean;
// returns 3.0
Examples
var objectKeys = require( '@stdlib/utils/keys' );
var arcsine = require( '@stdlib/stats/base/dists/arcsine' );
console.log( objectKeys( arcsine ) );