@stdlib/stats-base-dists-geometric-kurtosis
v0.2.2
Published
Geometric distribution excess kurtosis.
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Kurtosis
Geometric distribution excess kurtosis.
The excess kurtosis for a geometric random variable is
where p
is the success probability.
Installation
npm install @stdlib/stats-base-dists-geometric-kurtosis
Usage
var kurtosis = require( '@stdlib/stats-base-dists-geometric-kurtosis' );
kurtosis( p )
Returns the excess kurtosis of a geometric distribution with success probability p
.
var v = kurtosis( 0.1 );
// returns ~6.011
v = kurtosis( 0.5 );
// returns 6.5
If provided a success probability p
outside of [0,1]
, the function returns NaN
.
var v = kurtosis( NaN );
// returns NaN
v = kurtosis( 1.5 );
// returns NaN
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-geometric-kurtosis' );
var v;
var i;
var p;
for ( i = 0; i < 10; i++ ) {
p = randu();
v = kurtosis( p );
console.log( 'p: %d, Kurt(X;p): %d', p.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.