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

Geometric distribution skewness.

Usage no npm install needed!

<script type="module">
  import stdlibStatsBaseDistsGeometricSkewness from 'https://cdn.skypack.dev/@stdlib/stats-base-dists-geometric-skewness';
</script>

README

Skewness

NPM version Build Status Coverage Status

Geometric distribution skewness.

The skewness for a geometric random variable is

Skewness for a geometric distribution.

where p is the success probability.

Installation

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

Usage

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

skewness( p )

Returns the skewness of a geometric distribution with success probability p.

var v = skewness( 0.1 );
// returns ~2.003

v = skewness( 0.5 );
// returns ~2.121

If provided a success probability p outside of [0,1], the function returns NaN.

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

v = skewness( 1.5 );
// returns NaN

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-geometric-skewness' );

var v;
var i;
var p;

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

Chat


License

See LICENSE.

Copyright

Copyright © 2016-2022. The Stdlib Authors.