@stdlib/stats-base-dists-t-skewness
v0.2.2
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Student's t distribution skewness.
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Skewness
Student's t distribution skewness.
The skewness for a Student's t random variable with degrees of freedom ν
is
when ν > 3
. Otherwise, the skewness is not defined.
Installation
npm install @stdlib/stats-base-dists-t-skewness
Usage
var skewness = require( '@stdlib/stats-base-dists-t-skewness' );
skewness( v )
Returns the skewness of a Student's t distribution with degrees of freedom v
.
var y = skewness( 9.0 );
// returns 0.0
y = skewness( 3.5 );
// returns 0.0
If provided v <= 3
, the function returns NaN
.
var y = skewness( -1.0 );
// returns NaN
y = skewness( 0.8 );
// returns NaN
y = skewness( 2.0 );
// 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-t-skewness' );
var v;
var y;
var i;
for ( i = 0; i < 10; i++ ) {
v = randu() * 20.0;
y = skewness( v );
console.log( 'v: %d, skew(X,v): %d', v.toFixed( 4 ), y.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.