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@stdlib/stats-base-dists-chisquare-pdf

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    @stdlib/stats-base-dists-chisquare-pdf

Chi-squared distribution probability density function (PDF).


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About stdlib...

We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.

The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.

When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.

To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!

Probability Density Function

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Chi-squared distribution probability density function (PDF).

The probability density function (PDF) for a chi-squared random variable is

Probability density function (PDF) for a chi-squared distribution.

where k is the degrees of freedom and Γ denotes the gamma function.

Installation

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

Usage

var pdf = require( '@stdlib/stats-base-dists-chisquare-pdf' );
pdf( x, k )

Evaluates the probability density function (PDF) for a chi-squared distribution with degrees of freedom k.

var y = pdf( 0.1, 1.0 );
// returns ~1.2

y = pdf( 0.5, 2.0 );
// returns ~0.389

y = pdf( -1.0, 4.0 );
// returns 0.0

If provided NaN as any argument, the function returns NaN.

var y = pdf( NaN, 1.0 );
// returns NaN

y = pdf( 0.0, NaN );
// returns NaN

If provided k < 0, the function returns NaN.

var y = pdf( 2.0, -2.0 );
// returns NaN

If provided k = 0, the function evaluates the PDF of a degenerate distribution centered at 0.

var y = pdf( 2.0, 0.0 );
// returns 0.0

y = pdf( 0.0, 0.0 );
// returns Infinity
pdf.factory( k )

Returns a function for evaluating the PDF for a chi-squared distribution with degrees of freedom k.

var myPDF = pdf.factory( 6.0 );

var y = myPDF( 3.0 );
// returns ~0.126

y = myPDF( 1.0 );
// returns ~0.038

Examples

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

var k;
var x;
var y;
var i;

for ( i = 0; i < 20; i++ ) {
    x = randu() * 10.0;
    k = randu() * 10.0;
    y = pdf( x, k );
    console.log( 'x: %d, k: %d, f(x;k): %d', x.toFixed( 4 ), k.toFixed( 4 ), y.toFixed( 4 ) );
}

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.

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License

See LICENSE.

Copyright © 2016-2024. The Stdlib Authors.

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Last updated on 24 Feb 2024

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