@stdlib/stats-base-dists-chisquare-kurtosis
v0.2.2
Published
Chi-squared distribution kurtosis.
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Kurtosis
Chi-squared distribution excess kurtosis.
The excess kurtosis for a chi-squared random variable is
where k > 0
is the degrees of freedom.
Installation
npm install @stdlib/stats-base-dists-chisquare-kurtosis
Usage
var kurtosis = require( '@stdlib/stats-base-dists-chisquare-kurtosis' );
kurtosis( k )
Returns the excess kurtosis of a chi-squared distribution with degrees of freedom k
.
var v = kurtosis( 9.0 );
// returns ~1.333
v = kurtosis( 0.5 );
// returns 24.0
If provided k <= 0
, the function returns NaN
.
var v = kurtosis( -1.0 );
// returns NaN
Examples
var randu = require( '@stdlib/random-base-randu' );
var round = require( '@stdlib/math-base-special-round' );
var kurtosis = require( '@stdlib/stats-base-dists-chisquare-kurtosis' );
var k;
var v;
var i;
for ( i = 0; i < 10; i++ ) {
k = randu() * 20.0;
v = kurtosis( k );
console.log( 'k: %d, Kurt(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.
Community
License
See LICENSE.
Copyright
Copyright © 2016-2024. The Stdlib Authors.