Hypergeometric distribution.
npm install @stdlib/stats-base-dists-hypergeometric
var hypergeometric = require( '@stdlib/stats-base-dists-hypergeometric' );
Hypergeometric distribution.
var dist = hypergeometric;
// returns {...}
The namespace contains the following distribution functions:
cdf( x, N, K, n )
: hypergeometric distribution cumulative distribution function.logpmf( x, N, K, n )
: evaluate the natural logarithm of the probability mass function (PMF) for a hypergeometric distribution.pmf( x, N, K, n )
: hypergeometric distribution probability mass function (PMF).quantile( p, N, K, n )
: hypergeometric distribution quantile function.
The namespace contains the following functions for calculating distribution properties:
kurtosis( N, K, n )
: hypergeometric distribution excess kurtosis.mean( N, K, n )
: hypergeometric distribution expected value.mode( N, K, n )
: hypergeometric distribution mode.skewness( N, K, n )
: hypergeometric distribution skewness.stdev( N, K, n )
: hypergeometric distribution standard deviation.variance( N, K, n )
: hypergeometric distribution variance.
The namespace contains a constructor function for creating a hypergeometric distribution object.
Hypergeometric( N, K, n )
: hypergeometric distribution constructor.
var Hypergeometric = require( '@stdlib/stats-base-dists-hypergeometric' ).Hypergeometric;
var dist = new Hypergeometric( 8, 2, 4 );
var y = dist.cdf( 0.5 );
// returns ~0.214
var objectKeys = require( '@stdlib/utils-keys' );
var hypergeometric = require( '@stdlib/stats-base-dists-hypergeometric' );
console.log( objectKeys( hypergeometric ) );
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.
See LICENSE.
Copyright © 2016-2021. The Stdlib Authors.