Standard Deviation

Triangular distribution standard deviation.

The standard deviation for a triangular random variable is

Standard deviation for a triangular distribution.

where a is the lower limit, b is the upper limit, and c is the mode.

Installation

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

Usage

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

stdev( a, b, c )

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

var v = stdev( 0.0, 1.0, 0.8 );
// returns ~0.216

v = stdev( 4.0, 12.0, 5.0 );
// returns ~1.78

v = stdev( 2.0, 8.0, 5.0 );
// returns ~1.225

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

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

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

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

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

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

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

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

Examples

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

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 = stdev( a, b, c );
    console.log( 'a: %d, b: %d, c: %d, SD(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.

@stdlib/stats-base-dists-triangular-stdev

Package Exports

Readme