Kurtosis

Beta prime distribution excess kurtosis.

The excess kurtosis for a beta prime random variable with first shape parameter α and second shape parameter β is

when α > 0 and β > 4. Otherwise, the excess kurtosis is not defined.

Usage

var kurtosis = require( '@stdlib/stats/base/dists/betaprime/kurtosis' );

kurtosis( alpha, beta )

Returns the excess kurtosis of a beta prime distribution with parameters alpha (first shape parameter) and beta (second shape parameter).

var v = kurtosis( 2.0, 5.0 );
// returns 54.0

v = kurtosis( 4.0, 12.0 );
// returns ~5.764

v = kurtosis( 12.0, 6.0 );
// returns ~19.49

If provided NaN as any argument, the function returns NaN.

var v = kurtosis( NaN, 5.0 );
// returns NaN

v = kurtosis( 2.0, NaN );
// returns NaN

If provided alpha <= 0, the function returns NaN.

var v = kurtosis( 0.0, 5.0 );
// returns NaN

v = kurtosis( -1.0, 5.0 );
// returns NaN

If provided beta <= 4, the function returns NaN.

var v = kurtosis( 1.0, 3.5 );
// returns NaN

v = kurtosis( 1.0, 2.0 );
// returns NaN

v = kurtosis( 1.0, -1.0 );
// returns NaN

Examples

var randu = require( '@stdlib/random/base/randu' );
var EPS = require( '@stdlib/constants/float64/eps' );
var kurtosis = require( '@stdlib/stats/base/dists/betaprime/kurtosis' );

var alpha;
var beta;
var v;
var i;

for ( i = 0; i < 10; i++ ) {
    alpha = ( randu()*10.0 ) + EPS;
    beta = ( randu()*10.0 ) + 4.0 + EPS;
    v = kurtosis( alpha, beta );
    console.log( 'α: %d, β: %d, Kurt(X;α,β): %d', alpha.toFixed( 4 ), beta.toFixed( 4 ), v.toFixed( 4 ) );
}

C APIs

Usage

#include "stdlib/stats/base/dists/betaprime/kurtosis.h"

stdlib_base_dists_betaprime_kurtosis( alpha, beta )

Returns the excess kurtosis of a beta prime distribution.

double out = stdlib_base_dists_betaprime_kurtosis( 2.0, 6.0 );
// returns ~26.143

The function accepts the following arguments:

alpha: [in] double first shape parameter.
beta: [in] double second shape parameter.

double stdlib_base_dists_betaprime_kurtosis( const double alpha, const double beta );

Examples

#include "stdlib/stats/base/dists/betaprime/kurtosis.h"
#include <stdlib.h>
#include <stdio.h>

static double random_uniform( const double min, const double max ) {
    double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
    return min + ( v*(max-min) );
}

int main( void ) {
    double a;
    double b;
    double y;
    int i;

    for ( i = 0; i < 25; i++ ) {
        a = random_uniform( 0.0, 20.0 );
        b = random_uniform( 4.0, 24.0 );
        y = stdlib_base_dists_betaprime_kurtosis( a, b );
        printf( "α: %lf, β: %lf, Kurt(X;α,β): %lf", a, b, y );
    }
}