Kurtosis

Uniform distribution excess kurtosis.

The excess kurtosis for a uniform random variable with minimum support a and maximum support b is

upper K u r t left-parenthesis upper X right-parenthesis equals negative six-fifths

Usage

var kurtosis = require( '@stdlib/math/base/dists/uniform/kurtosis' );

kurtosis( a, b )

Returns the excess kurtosis of a uniform distribution with parameters a (minimum support) and b (maximum support).

var v = kurtosis( 0.0, 1.0 );
// returns -1.2

v = kurtosis( 4.0, 12.0 );
// returns -1.2

v = kurtosis( 2.0, 8.0 );
// returns -1.2

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/math/base/dists/uniform/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 ) );
}