@stdlib/stats-base-dists-arcsine-stdev NPM

Standard Deviation

Arcsine distribution standard deviation.

The standard deviation for an arcsine random variable with minimum support a and maximum support b is

Installation

npm install @stdlib/stats-base-dists-arcsine-stdev

Usage

var stdev = require( '@stdlib/stats-base-dists-arcsine-stdev' );

stdev( a, b )

Returns the standard deviation of an arcsine distribution with parameters a (minimum support) and b (maximum support).

var v = stdev( 0.0, 1.0 );
// returns ~0.354

v = stdev( 4.0, 12.0 );
// returns ~2.828

v = stdev( 2.0, 8.0 );
// returns ~2.121

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

var v = stdev( NaN, 2.0 );
// returns NaN

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

If provided a >= b, the function returns NaN.

var v = stdev( 3.0, 2.0 );
// returns NaN

v = stdev( 3.0, 3.0 );
// returns NaN

Examples

var randu = require( '@stdlib/random-base-randu' );
var stdev = require( '@stdlib/stats-base-dists-arcsine-stdev' );

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

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