Kurtosis

Triangular distribution excess kurtosis.

The excess kurtosis for a triangular random variable with lower limit a, upper limit b, and mode c is

Usage

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

kurtosis( a, b, c )

Returns the excess kurtosis of a triangular distribution with minimum support a, maximum supportb, and mode c.

var v = kurtosis( 0.0, 1.0, 0.8 );
// returns -0.6

v = kurtosis( 4.0, 12.0, 5.0 );
// returns -0.6

v = kurtosis( 2.0, 8.0, 5.0 );
// returns -0.6

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

var v = kurtosis( NaN, 4.0, 2.0 );
// returns NaN

v = kurtosis( 0.0, NaN, 2.0 );
// returns NaN

v = kurtosis( 0.0, 4.0, NaN );
// returns NaN

If provided parameters not satisfying a <= c <= b, the function returns NaN.

var y = kurtosis( 1.0, 0.0, 1.5 );
// returns NaN

y = kurtosis( 0.0, 1.0, -1.0 );
// returns NaN

y = kurtosis( 0.0, -1.0, 0.5 );
// returns NaN

Examples

var randu = require( '@stdlib/random/base/randu' );
var kurtosis = require( '@stdlib/stats/base/dists/triangular/kurtosis' );

var a;
var b;
var c;
var v;
var i;

for ( i = 0; i < 10; i++ ) {
    a = ( randu()*10.0 );
    b = ( randu()*10.0 ) + a;
    c = ( randu()*( b-a ) ) + a;
    v = kurtosis( a, b, c );
    console.log( 'a: %d, b: %d, c: %d, Kurt(X;a,b,c): %d', a.toFixed( 4 ), b.toFixed( 4 ), c.toFixed( 4 ), v.toFixed( 4 ) );
}

C APIs

Usage

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

stdlib_base_dists_triangular_kurtosis( a, b, c )

Returns the excess kurtosis of a triangular distribution with minimum support a, maximum supportb, and mode c.

double out = stdlib_base_dists_triangular_kurtosis( 0.0, 1.0, 0.8 );
// returns -0.6

The function accepts the following arguments:

a: [in] double minimum support.
b: [in] double maximum support.
c: [in] double mode.

double stdlib_base_dists_triangular_kurtosis( const double a, const double b, const double c );

Examples

#include "stdlib/stats/base/dists/triangular/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 c;
    double v;
    int i;

    for ( i = 0; i < 25; i++ ) {
        a = random_uniform( 0.0, 10.0 );
        b = random_uniform( a, a+10.0 );
        c = random_uniform( a, b );
        v = stdlib_base_dists_triangular_kurtosis( a, b, c );
        printf( "a: %lf, b: %lf, c: %lf, Kurt(X;a,b,c): %lf\n", a, b, c, v );
    }
}