Package Exports
- @stdlib/stats-base-dists-erlang-mgf
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Readme
Moment-Generating Function
Erlang distribution moment-generating function (MGF).
The moment-generating function for an Erlang random variable is
for t < lambda, where the nonnegative integer k is the shape parameter and lambda > 0 is the rate parameter of the distribution. In the case that t >= lambda, the MGF is not defined.
Installation
npm install @stdlib/stats-base-dists-erlang-mgfUsage
var mgf = require( '@stdlib/stats-base-dists-erlang-mgf' );mgf( t, k, lambda )
Evaluates the moment-generating function (mgf) for an Erlang distribution with parameters k (shape parameter) and lambda (rate parameter).
var y = mgf( 0.3, 1, 1.0 );
// returns ~1.429
y = mgf( 2.0, 2, 3.0 );
// returns ~9.0
y = mgf( -1.0, 2, 2.0 );
// returns ~0.444If provided NaN as any argument, the function returns NaN.
var y = mgf( NaN, 1, 1.0 );
// returns NaN
y = mgf( 0.0, NaN, 1.0 );
// returns NaN
y = mgf( 0.0, 1, NaN );
// returns NaNIf not provided a nonnegative integer for k, the function returns NaN.
var y = mgf( 0.2, -2, 0.5 );
// returns NaN
y = mgf( 0.2, 0.5, 0.5 );
// returns NaNIf provided lambda <= 0, the function returns NaN.
var y = mgf( 0.2, 1, 0.0 );
// returns NaN
y = mgf( 0.2, 1, -5.0 );
// returns NaNmgf.factory( k, lambda )
Returns a function for evaluating the moment-generating function for an Erlang distribution with parameters k (shape parameter) and lambda (rate parameter).
var myMGF = mgf.factory( 2, 0.5 );
var y = myMGF( 0.2 );
// returns ~2.778
y = myMGF( -0.5 );
// returns 0.25Examples
var randu = require( '@stdlib/random-base-randu' );
var round = require( '@stdlib/math-base-special-round' );
var mgf = require( '@stdlib/stats-base-dists-erlang-mgf' );
var lambda;
var k;
var t;
var y;
var i;
for ( i = 0; i < 10; i++ ) {
k = round( randu() * 10.0 );
lambda = randu() * 10.0;
t = randu() * lambda;
y = mgf( t, k, lambda );
console.log( 't: %d, k: %d, λ: %d, M_X(t;k,λ): %d', t.toFixed( 4 ), k, lambda.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.
License
See LICENSE.
Copyright
Copyright © 2016-2021. The Stdlib Authors.