Moment-Generating Function

Chi-squared distribution moment-generating function (MGF).

The moment-generating function for a chi-squared random variable is

where k is the degrees of freedom.

Installation

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

Usage

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

mgf( t, k )

Evaluates the moment-generating function (MGF) for a chi-squared distribution with degrees of freedom k.

var y = mgf( 0.4, 2 );
// returns ~5.0

y = mgf( -1.0, 5.0 );
// returns ~0.0642

y = mgf( 0.0, 10.0 );
// returns 1.0

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

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

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

If provided t >= 0.5, the function returns NaN.

var y = mgf( 0.8, 1.0 );
// returns NaN

If provided k < 0, the function returns NaN.

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

mgf.factory( k )

Returns a function for evaluating the moment-generating function (MGF) for a chi-squared distribution with degrees of freedom k.

var mymgf = mgf.factory( 1.0 );

var y = mymgf( 0.2 );
// returns ~1.291

y = mymgf( 0.4 );
// returns ~2.236

Examples

var uniform = require( '@stdlib/random-array-uniform' );
var logEachMap = require( '@stdlib/console-log-each-map' );
var mgf = require( '@stdlib/stats-base-dists-chisquare-mgf' );

var opts = {
    'dtype': 'float64'
};
var t = uniform( 10, 0.0, 0.5, opts );
var k = uniform( 10, 0.0, 10.0, opts );

logEachMap( 'x: %0.4f, k: %0.4f, M_X(t;k): %0.4f', t, k, mgf );

C APIs

Usage

#include "stdlib/stats/base/dists/chisquare/mgf.h"

stdlib_base_dists_chisquare_mgf( t, k )

Evaluates the moment-generating function (MGF) for a chi-squared distribution with degrees of freedom k at a value t.

double out = stdlib_base_dists_chisquare_mgf( 0.4, 2.0 );
// returns ~5.0

The function accepts the following arguments:

• t: [in] double input value.
• k: [in] double degrees of freedom (must be nonnegative).

double stdlib_base_dists_chisquare_mgf( const double t, const double k );

Examples

#include "stdlib/stats/base/dists/chisquare/mgf.h"
#include <stdlib.h>
#include <stdio.h>

static double random_uniform( const double min, const double max ) {
    double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
    return min + ( v * ( max - min ) );
}

int main( void ) {
    double result;
    double t;
    double k;
    int i;

    for ( i = 0; i < 10; i++ ) {
        t = random_uniform( -0.5, 0.4 );
        k = random_uniform( 0.1, 10.0 );
        result = stdlib_base_dists_chisquare_mgf( t, k );
        printf( "t: %lf, k: %lf, M_X(t;k): %lf \n", t, k, result );
    }
}

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 © 2016-2026. The Stdlib Authors.