@stdlib/stats-base-dists-gumbel-pdf v0.2.2
Probability Density Function
Gumbel distribution probability density function (PDF).
The probability density function (PDF) for a Gumbel random variable is
where mu is the location parameter and beta > 0 is the scale parameter.
Installation
npm install @stdlib/stats-base-dists-gumbel-pdfUsage
var pdf = require( '@stdlib/stats-base-dists-gumbel-pdf' );pdf( x, mu, beta )
Evaluates the probability density function (PDF) for a Gumbel distribution with parameters mu (location parameter) and beta (scale parameter).
var y = pdf( 0.0, 0.0, 2.0 );
// returns ~0.184
y = pdf( 0.0, 0.0, 1.0 );
// returns ~0.368
y = pdf( 1.0, 3.0, 2.0 );
// returns ~0.09If provided NaN as any argument, the function returns NaN.
var y = pdf( NaN, 0.0, 1.0 );
// returns NaN
y = pdf( 0.0, NaN, 1.0 );
// returns NaN
y = pdf( 0.0, 0.0, NaN );
// returns NaNIf provided beta <= 0, the function returns NaN.
var y = pdf( 2.0, 0.0, -1.0 );
// returns NaN
y = pdf( 2.0, 8.0, 0.0 );
// returns NaNpdf.factory( mu, beta )
Partially apply mu and beta to create a reusable function for evaluating the PDF.
var mypdf = pdf.factory( 10.0, 2.0 );
y = mypdf( 10.0 );
// returns ~0.184
y = mypdf( 12.0 );
// returns ~0.127Examples
var randu = require( '@stdlib/random-base-randu' );
var pdf = require( '@stdlib/stats-base-dists-gumbel-pdf' );
var beta;
var mu;
var x;
var y;
var i;
for ( i = 0; i < 10; i++ ) {
x = randu() * 10.0;
mu = randu() * 10.0;
beta = randu() * 10.0;
y = pdf( x, mu, beta );
console.log( 'x: %d, µ: %d, β: %d, f(x;µ,β): %d', x, mu, beta, y );
}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
Copyright © 2016-2024. The Stdlib Authors.