|
||
---|---|---|
.. | ||
docs | ||
lib | ||
package.json | ||
README.md |
Kurtosis
Rayleigh distribution excess kurtosis.
The excess kurtosis for a Rayleigh random variable is
where σ > 0
is the scale parameter.
Usage
var kurtosis = require( '@stdlib/stats/base/dists/rayleigh/kurtosis' );
kurtosis( sigma )
Returns the excess kurtosis of a Rayleigh distribution with scale parameter sigma
.
var y = kurtosis( 9.0 );
// returns ~0.245
y = kurtosis( 4.5 );
// returns ~0.245
If provided sigma < 0
, the function returns NaN
.
var y = 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/rayleigh/kurtosis' );
var sigma;
var y;
var i;
for ( i = 0; i < 10; i++ ) {
sigma = randu() * 20.0;
y = kurtosis( sigma );
console.log( 'σ: %d, Kurt(X,σ): %d', sigma.toFixed( 4 ), y.toFixed( 4 ) );
}