Kurtosis

Triangular distribution excess kurtosis.

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

Installation

npm install @stdlib/stats-base-dists-triangular-kurtosis

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 ) );
}

Notice

This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.

Community

License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.