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@stdlib/stats-base-dists-betaprime-variance

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  • License Apache-2.0

Beta prime distribution variance.

Package Exports

  • @stdlib/stats-base-dists-betaprime-variance
  • @stdlib/stats-base-dists-betaprime-variance/lib/index.js

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@stdlib/stats-base-dists-betaprime-variance) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

Variance

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Beta prime distribution variance.

The variance for a beta prime random variable with first shape parameter α and second shape parameter β is

Variance for a beta prime distribution.

when α > 0 and β > 2. Otherwise, the variance is not defined.

Installation

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

Usage

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

variance( alpha, beta )

Returns the variance of a beta prime distribution with parameters alpha (first shape parameter) and beta (second shape parameter).

var v = variance( 1.0, 3.0 );
// returns ~0.75

v = variance( 4.0, 12.0 );
// returns ~0.05

v = variance( 8.0, 2.5 );
// returns ~67.556

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 <= 0, the function returns NaN.

var v = variance( 0.0, 1.0 );
// returns NaN

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

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

var v = variance( 1.0, 2.0 );
// returns NaN

v = variance( 1.0, 0.0 );
// returns NaN

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

Examples

var randu = require( '@stdlib/random-base-randu' );
var EPS = require( '@stdlib/constants-float64-eps' );
var variance = require( '@stdlib/stats-base-dists-betaprime-variance' );

var alpha;
var beta;
var v;
var i;

for ( i = 0; i < 10; i++ ) {
    alpha = ( randu()*10.0 ) + EPS;
    beta = ( randu()*10.0 ) + 2.0 + EPS;
    v = variance( alpha, beta );
    console.log( 'α: %d, β: %d, Var(X;α,β): %d', alpha.toFixed( 4 ), beta.toFixed( 4 ), v.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.

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License

See LICENSE.

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