@stdlib/stats-base-dists-chisquare-pdf v0.2.2
Probability Density Function
Chi-squared distribution probability density function (PDF).
The probability density function (PDF) for a chi-squared random variable is
where k is the degrees of freedom and Γ denotes the gamma function.
Installation
npm install @stdlib/stats-base-dists-chisquare-pdfUsage
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 0.0If provided NaN as any argument, the function returns NaN.
var y = pdf( NaN, 1.0 );
// returns NaN
y = pdf( 0.0, NaN );
// returns NaNIf provided k < 0, the function returns NaN.
var y = pdf( 2.0, -2.0 );
// returns NaNIf 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 Infinitypdf.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 ~0.038Examples
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
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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
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