Variance

Inverse gamma distribution variance.

The variance for an inverse gamma random variable with shape parameter α and rate parameter β is

when α > 2. Otherwise, the variance is not defined.

Installation

npm install @stdlib/stats-base-dists-invgamma-variance

Usage

var variance = require( '@stdlib/stats-base-dists-invgamma-variance' );

variance( alpha, beta )

Returns the variance of a inverse gamma distribution with parameters alpha (shape parameter) and beta (rate parameter).

var v = variance( 7.0, 7.0 );
// returns ~0.272

v = variance( 4.0, 12.0 );
// returns 8.0

v = variance( 8.0, 2.0 );
// returns ~0.014

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

var v = variance( NaN, 2.0 );
// returns NaN

v = variance( 2.0, NaN );
// returns NaN

If provided alpha <= 2, the function returns NaN.

var v = variance( 1.0, 1.0 );
// returns NaN

v = variance( -1.0, 1.0 );
// returns NaN

If provided beta <= 0, the function returns NaN.

var v = variance( 3.0, 0.0 );
// returns NaN

v = variance( 3.0, -1.0 );
// returns NaN

Examples

var EPS = require( '@stdlib/constants-float64-eps' );
var uniform = require( '@stdlib/random-array-uniform' );
var logEachMap = require( '@stdlib/console-log-each-map' );
var variance = require( '@stdlib/stats-base-dists-invgamma-variance' );

var opts = {
    'dtype': 'float64'
};
var alpha = uniform( 10, EPS, 10.0, opts );
var beta = uniform( 10, EPS, 10.0, opts );

logEachMap( 'α: %0.4f, β: %0.4f, Var(X;α,β): %0.4f', alpha, beta, variance );

C APIs

Usage

#include "stdlib/stats/base/dists/invgamma/variance.h"

stdlib_base_dists_invgamma_variance( alpha, beta )

Returns the variance of an inverse gamma distribution.

double out = stdlib_base_dists_invgamma_variance( 3.0, 5.0 );
// returns ~6.25

The function accepts the following arguments:

• alpha: [in] double shape parameter.
• beta: [in] double rate parameter.

double stdlib_base_dists_invgamma_variance( const double alpha, const double beta );

Examples

#include "stdlib/stats/base/dists/invgamma/variance.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 alpha;
    double beta;
    double y;
    int i;

    for ( i = 0; i < 25; i++ ) {
        alpha = random_uniform( 0.0, 20.0 );
        beta = random_uniform( 0.0, 20.0 );
        y = stdlib_base_dists_invgamma_variance( alpha, beta );
        printf( "α: %lf, β: %lf, Var(X;α,β): %lf\n", alpha, beta, y );
    }
}

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.