Kurtosis

Poisson distribution excess kurtosis.

The excess kurtosis for a Poisson random variable is

where λ is the mean parameter.

Installation

npm install @stdlib/stats-base-dists-poisson-kurtosis

Usage

var kurtosis = require( '@stdlib/stats-base-dists-poisson-kurtosis' );

kurtosis( lambda )

Returns the excess kurtosis of a Poisson distribution with mean parameter lambda.

var v = kurtosis( 9.0 );
// returns ~0.111

v = kurtosis( 0.5 );
// returns 2.0

If provided lambda < 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-poisson-kurtosis' );

var lambda;
var v;
var i;

for ( i = 0; i < 10; i++ ) {
    lambda = randu() * 20.0;
    v = kurtosis( lambda );
    console.log( 'λ: %d, Kurt(X;λ): %d', lambda.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.