@stdlib/stats-base-dists-hypergeometric NPM

Hypergeometric

Hypergeometric distribution.

Installation

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

Usage

var hypergeometric = require( '@stdlib/stats-base-dists-hypergeometric' );

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

Examples

var objectKeys = require( '@stdlib/utils-keys' );
var hypergeometric = require( '@stdlib/stats-base-dists-hypergeometric' );

console.log( objectKeys( hypergeometric ) );

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.