@stdlib/stats-base-dists-gumbel-mgf
v0.2.2
Published
Gumbel distribution moment-generating function (MGF).
Readme
Moment-Generating Function
Gumbel distribution moment-generating function (MGF).
The moment-generating function 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-mgfUsage
var mgf = require( '@stdlib/stats-base-dists-gumbel-mgf' );mgf( t, mu, beta )
Evaluates the moment-generating function (MGF) for a Gumbel distribution with parameters mu (location parameter) and beta > 0 (scale parameter).
var y = mgf( -1.0, 0.0, 3.0 );
// returns 6.0
y = mgf( 0.1, 0.0, 3.0 );
// returns ~1.298
y = mgf( 0.0, 0.0, 1.0 );
// returns 1.0If provided NaN as any argument, the function returns NaN.
var y = mgf( NaN, 0.0, 1.0 );
// returns NaN
y = mgf( 0.0, NaN, 1.0 );
// returns NaN
y = mgf( 0.0, 0.0, NaN );
// returns NaNIf provided t >= 1/beta, the function returns NaN.
var y = mgf( 0.8, 0.0, 2.0 );
// returns NaNIf provided beta <= 0, the function returns NaN.
var y = mgf( 0.5, 0.0, -1.0 );
// returns NaN
y = mgf( 0.5, 0.0, 0.0 );
// returns NaNmgf.factory( mu, beta )
Returns a function for evaluating the moment-generating function of a Gumbel distribution with parameters mu (location parameter) and beta > 0 (scale parameter).
var myMGF = mgf.factory( 0.0, 2.0 );
var y = myMGF( 0.2 );
// returns ~1.489
y = myMGF( -1.0 );
// returns 2.0Examples
var randu = require( '@stdlib/random-base-randu' );
var mgf = require( '@stdlib/stats-base-dists-gumbel-mgf' );
var beta;
var mu;
var t;
var y;
var i;
for ( i = 0; i < 10; i++ ) {
t = randu();
mu = (randu() * 10.0) - 5.0;
beta = randu() * 20.0;
y = mgf( t, mu, beta );
console.log( 't: %d, µ: %d, β: %d, M_X(t;µ,β): %d', t.toFixed( 4 ), mu.toFixed( 4 ), beta.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.
