@stdlib/stats-base-dists-bernoulli-skewness
v0.2.2
Published
Bernoulli distribution skewness.
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Skewness
The skewness for a Bernoulli random variable is
where p
is the success probability.
Installation
npm install @stdlib/stats-base-dists-bernoulli-skewness
Usage
var skewness = require( '@stdlib/stats-base-dists-bernoulli-skewness' );
skewness( p )
Returns the skewness of a Bernoulli distribution with success probability p
.
var v = skewness( 0.1 );
// returns ~2.667
v = skewness( 0.5 );
// returns 0.0
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-bernoulli-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
License
See LICENSE.
Copyright
Copyright © 2016-2024. The Stdlib Authors.