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Chi-squared

Chi-squared distribution.

Installation

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

Alternatively,

• To load the package in a website via a script tag without installation and bundlers, use the ES Module available on the esm branch (see README).
• If you are using Deno, visit the deno branch (see README for usage intructions).
• For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the umd branch (see README).

The branches.md file summarizes the available branches and displays a diagram illustrating their relationships.

To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.

Usage

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

chisquare

Chi-squared distribution.

var dist = chisquare;
// returns {...}

The namespace contains the following distribution functions:

• cdf( x, k ): Chi-squared distribution cumulative distribution function.
• logpdf( x, k ): evaluate the natural logarithm of the probability density function (PDF) for a chi-squared distribution.
• mgf( t, k ): Chi-squared distribution moment-generating function (MGF).
• pdf( x, k ): Chi-squared distribution probability density function (PDF).
• quantile( p, k ): Chi-squared distribution quantile function.

The namespace contains the following functions for calculating distribution properties:

• entropy( k ): Chi-squared distribution differential entropy.
• kurtosis( k ): Chi-squared distribution excess kurtosis.
• mean( k ): Chi-squared distribution expected value.
• median( k ): Chi-squared distribution median.
• mode( k ): Chi-squared distribution mode.
• skewness( k ): Chi-squared distribution skewness.
• stdev( k ): Chi-squared distribution standard deviation.
• variance( k ): Chi-squared distribution variance.

The namespace contains a constructor function for creating a Chi-squared distribution object.

• ChiSquare( [k] ): Chi-squared distribution constructor.

var ChiSquare = require( '@stdlib/stats-base-dists-chisquare' ).ChiSquare;

var dist = new ChiSquare( 4.0 );

var mu = dist.mean;
// returns 4.0

Examples

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

console.log( objectKeys( chisquare ) );

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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.

Community

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License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.