@stdlib/stats-base-dists-chisquare-skewness

Chi-squared distribution skewness.


Keywords
stdlib, stdmath, statistics, stats, distribution, dist, skewness, shape, asymmetry, chisq, chisquare, chisquared, chi-square, chi-squared, univariate, continuous, javascript, node, node-js, nodejs
License
Apache-2.0
Install
npm install @stdlib/stats-base-dists-chisquare-skewness@0.0.6

Documentation

Skewness

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Chi-squared distribution skewness.

The skewness for a chi-squared random variable is

Skewness for a chi-squared distribution.

where k > 0 is the degrees of freedom.

Installation

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

Usage

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

skewness( k )

Returns the skewness of a chi-squared distribution with degrees of freedom k.

var v = skewness( 9.0 );
// returns ~0.943

v = skewness( 0.5 );
// returns 4.0

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

var v = skewness( -1.0 );
// returns NaN

Examples

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

var k;
var v;
var i;

for ( i = 0; i < 10; i++ ) {
    k = randu() * 20.0;
    v = skewness( k );
    console.log( 'k: %d, skew(X,k): %d', k.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.

Copyright

Copyright © 2016-2021. The Stdlib Authors.