@stdlib/stats-base-dists-discrete-uniform-skewness
v0.3.1
Published
Discrete uniform distribution skewness.
Readme
Skewness
Discrete uniform distribution skewness.
The skewness for a discrete uniform random variable with minimum support a and maximum support b is
Installation
npm install @stdlib/stats-base-dists-discrete-uniform-skewnessUsage
var skewness = require( '@stdlib/stats-base-dists-discrete-uniform-skewness' );skewness( a, b )
Returns the skewness of a discrete uniform distribution with parameters a (minimum support) and b (maximum support).
var v = skewness( 0, 1 );
// returns 0.0
v = skewness( 4, 12 );
// returns 0.0
v = skewness( 2, 8 );
// returns 0.0If a or b is not an integer value, the function returns NaN.
var v = skewness( 0.1, 2 );
// returns NaN
v = skewness( 0, 2.2 );
// returns NaN
v = skewness( NaN, 2 );
// returns NaN
v = skewness( 2, NaN );
// returns NaNIf provided a > b, the function returns NaN.
var y = skewness( 3, 2 );
// returns NaN
y = skewness( -1, -2 );
// returns NaNExamples
var randint = require( '@stdlib/random-base-discrete-uniform' );
var skewness = require( '@stdlib/stats-base-dists-discrete-uniform-skewness' );
var randa = randint.factory( 0, 10 );
var randb = randint.factory();
var a;
var b;
var v;
var i;
for ( i = 0; i < 10; i++ ) {
a = randa();
b = randb( a, a+randa() );
v = skewness( a, b );
console.log( 'a: %d, b: %d, skew(X;a,b): %d', a.toFixed( 4 ), b.toFixed( 4 ), v.toFixed( 4 ) );
}C APIs
Usage
#include "stdlib/stats/base/dists/discrete-uniform/skewness.h"stdlib_base_dists_discrete_uniform_skewness( a, b )
Returns the skewness of a discrete uniform distribution with parameters a (minimum support) and b (maximum support).
double out = stdlib_base_dists_discrete_uniform_skewness( 0, 1 );
// returns 0.0The function accepts the following arguments:
- a:
[in] int32_tminimum support. - b:
[in] int32_tmaximum support.
double stdlib_base_dists_discrete_uniform_skewness( const int32_t a, const int32_t b );Examples
#include "stdlib/stats/base/dists/discrete-uniform/skewness.h"
#include "stdlib/math/base/special/round.h"
#include <stdint.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 ) {
int32_t a;
int32_t b;
double y;
int i;
for ( i = 0; i < 10; i++ ) {
a = stdlib_base_round( random_uniform( 0.0, 10.0 ) );
b = stdlib_base_round( random_uniform( 0.0, 10.0 ) ) + a;
y = stdlib_base_dists_discrete_uniform_skewness( a, b );
printf( "a: %d, b: %d, skew(X;a,b): %lf\n", a, b, y );
}
}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.
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License
See LICENSE.
Copyright
Copyright © 2016-2026. The Stdlib Authors.
