@stdlib/stats-base-dists-chi-pdf
v0.2.2
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Chi distribution probability density function (PDF).
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Probability Density Function
Chi distribution probability density function (PDF).
The probability density function (PDF) for a chi random variable is
where k
is the degrees of freedom and Γ
denotes the gamma function.
Installation
npm install @stdlib/stats-base-dists-chi-pdf
Usage
var pdf = require( '@stdlib/stats-base-dists-chi-pdf' );
pdf( x, k )
Evaluates the probability density function (PDF) for a chi distribution with degrees of freedom k
.
var y = pdf( 0.1, 1.0 );
// returns ~0.794
y = pdf( 0.5, 2.0 );
// returns ~0.441
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 distribution with degrees of freedom k
.
var myPDF = pdf.factory( 6.0 );
var y = myPDF( 3.0 );
// returns ~0.337
y = myPDF( 1.0 );
// returns ~0.076
Examples
var randu = require( '@stdlib/random-base-randu' );
var pdf = require( '@stdlib/stats-base-dists-chi-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.
Community
License
See LICENSE.
Copyright
Copyright © 2016-2024. The Stdlib Authors.