Package Exports
- @stdlib/stats-base-dists-negative-binomial-skewness
- @stdlib/stats-base-dists-negative-binomial-skewness/lib/index.js
This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@stdlib/stats-base-dists-negative-binomial-skewness) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.
Readme
Skewness
Negative binomial distribution skewness.
The skewness for a negative binomial random variable is
where r
is the number of successes until experiment is stopped and p
is the success probability in each trial. The random variable X
denotes the number of failures until the r
success is reached.
Installation
npm install @stdlib/stats-base-dists-negative-binomial-skewness
Usage
var skewness = require( '@stdlib/stats-base-dists-negative-binomial-skewness' );
skewness( r, p )
Returns the skewness of a negative binomial distribution with parameters r
(number of successes until experiment is stopped) and p
(success probability).
var v = skewness( 100, 0.2 );
// returns ~0.201
v = skewness( 50, 0.5 );
// returns ~0.3
If provided NaN
as any argument, the function returns NaN
.
var v = skewness( NaN, 0.5 );
// returns NaN
v = skewness( 20, NaN );
// returns NaN
If provided a r
which is not a positive number, the function returns NaN
.
var v = skewness( -2.0, 0.5 );
// returns NaN
If provided a success probability p
outside of [0,1]
, the function returns NaN
.
var v = skewness( 20, -1.0 );
// returns NaN
v = skewness( 20, 1.5 );
// returns NaN
Examples
var randu = require( '@stdlib/random-base-randu' );
var skewness = require( '@stdlib/stats-base-dists-negative-binomial-skewness' );
var v;
var i;
var r;
var p;
for ( i = 0; i < 10; i++ ) {
r = randu() * 100;
p = randu();
v = skewness( r, p );
console.log( 'r: %d, p: %d, skew(X;r,p): %d', r, 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.
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Copyright
Copyright © 2016-2022. The Stdlib Authors.