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@stdlib/stats-base-dists-erlang-mgf

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  • License Apache-2.0

Erlang distribution moment-generating function (MGF).

Package Exports

  • @stdlib/stats-base-dists-erlang-mgf

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Readme

Moment-Generating Function

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Erlang distribution moment-generating function (MGF).

The moment-generating function for an Erlang random variable is

Moment-generating function (MGF) for an Erlang distribution.

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-mgf

Usage

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 ~0.444

If 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 NaN

If 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 NaN

If 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 NaN

mgf.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 0.25

Examples

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 © 2016-2021. The Stdlib Authors.