@stdlib/stats-base-dists-arcsine NPM

Arcsine

Arcsine distribution.

Installation

npm install @stdlib/stats-base-dists-arcsine

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 ) );

Notice

This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.