# @stdlib/stats-base-dists-binomial-mgf 0.1.0 • Public • Published

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# Moment-Generating Function

Binomial distribution moment-generating function (MGF).

The moment-generating function for a binomial random variable is

where the nonnegative integer n is the number of trials and 0 <= p <= 1 is the success probability.

## Installation

npm install @stdlib/stats-base-dists-binomial-mgf

## Usage

var mgf = require( '@stdlib/stats-base-dists-binomial-mgf' );

#### mgf( t, n, p )

Evaluates the moment-generating function for a binomial distribution with number of trials n and success probability p.

var y = mgf( 0.5, 20, 0.2 );
// returns ~11.471

y = mgf( 5.0, 20, 0.2 );
// returns ~4.798e29

y = mgf( 0.9, 10, 0.4 );
// returns ~99.338

y = mgf( 0.0, 10, 0.4 );
// returns 1.0

If provided NaN as any argument, the function returns NaN.

var y = mgf( NaN, 20, 0.5 );
// returns NaN

y = mgf( 0.0, NaN, 0.5 );
// returns NaN

y = mgf( 0.0, 20, NaN );
// returns NaN

If provided a number of trials n which is not a nonnegative integer, the function returns NaN.

var y = mgf( 0.2, 1.5, 0.5 );
// returns NaN

y = mgf( 0.2, -2.0, 0.5 );
// returns NaN

If provided a success probability p outside of [0,1], the function returns NaN.

var y = mgf( 0.2, 20, -1.0 );
// returns NaN

y = mgf( 0.2, 20, 1.5 );
// returns NaN

#### mgf.factory( n, p )

Returns a function for evaluating the moment-generating function of a binomial distribution with number of trials n and success probability p.

var myMGF = mgf.factory( 10, 0.5 );

var y = myMGF( 0.3 );
// returns ~5.013

## Examples

var randu = require( '@stdlib/random-base-randu' );
var round = require( '@stdlib/math-base-special-round' );
var mgf = require( '@stdlib/stats-base-dists-binomial-mgf' );

var n;
var p;
var t;
var y;
var i;

for ( i = 0; i < 10; i++ ) {
t = round( randu() * 5.0 );
n = round( randu() * 10.0 );
p = randu();
y = mgf( t, n, p );
console.log( 't: %d, n: %d, p: %d, M_X(t;n,p): %d', t, n, p.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 ## Package Sidebar

### Install

npm i @stdlib/stats-base-dists-binomial-mgf

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