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Kurtosis
Arcsine distribution excess kurtosis.
The excess kurtosis for an arcsine random variable with minimum support a
and maximum support b
is
Usage
var kurtosis = require( '@stdlib/stats/base/dists/arcsine/kurtosis' );
kurtosis( a, b )
Returns the excess kurtosis of an arcsine distribution with parameters a
(minimum support) and b
(maximum support).
var v = kurtosis( 0.0, 1.0 );
// returns -1.5
v = kurtosis( 4.0, 12.0 );
// returns -1.5
v = kurtosis( 2.0, 8.0 );
// returns -1.5
If provided NaN
as any argument, the function returns NaN
.
var v = kurtosis( NaN, 2.0 );
// returns NaN
v = kurtosis( 2.0, NaN );
// returns NaN
If provided a >= b
, the function returns NaN
.
var y = kurtosis( 3.0, 2.0 );
// returns NaN
y = kurtosis( 3.0, 3.0 );
// returns NaN
Examples
var randu = require( '@stdlib/random/base/randu' );
var kurtosis = require( '@stdlib/stats/base/dists/arcsine/kurtosis' );
var a;
var b;
var v;
var i;
for ( i = 0; i < 10; i++ ) {
a = ( randu()*10.0 );
b = ( randu()*10.0 ) + a;
v = kurtosis( a, b );
console.log( 'a: %d, b: %d, Kurt(X;a,b): %d', a.toFixed( 4 ), b.toFixed( 4 ), v.toFixed( 4 ) );
}