Erlang distribution moment-generating function (MGF).
APACHE-2.0 License
Erlang distribution moment-generating function (MGF).
The moment-generating function for an Erlang random variable is
M_X(t) := \mathbb{E}\!\left[e^{tX}\right] = \left(1 \,-\, \frac{t}{\lambda}\right)^{-k}
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.
npm install @stdlib/stats-base-dists-erlang-mgf
Alternatively,
script
tag without installation and bundlers, use the ES Module available on the esm
branch (see README).deno
branch (see README for usage intructions).umd
branch (see README).The branches.md file summarizes the available branches and displays a diagram illustrating their relationships.
To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.
var mgf = require( '@stdlib/stats-base-dists-erlang-mgf' );
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
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
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 ) );
}
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.
See LICENSE.
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