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Chi-squared distribution excess kurtosis.
The excess kurtosis for a chi-squared random variable is
where k > 0 is the degrees of freedom.
npm install @stdlib/stats-base-dists-chisquare-kurtosisvar kurtosis = require( '@stdlib/stats-base-dists-chisquare-kurtosis' );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 24.0If provided k <= 0, the function returns NaN.
var v = kurtosis( -1.0 );
// returns NaNvar 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 ) );
}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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