Standard Deviation

Planck distribution standard deviation.

The standard deviation for a Planck random variable is

where λ is the shape parameter.

Installation

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

Usage

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

stdev( lambda )

Returns the standard deviation of a Planck distribution with shape parameter λ.

var v = stdev( 0.1 );
// returns ~9.9958

v = stdev( 1.5 );
// returns ~0.6080

If provided a shape parameter λ which is nonpositive, the function returns NaN.

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

v = stdev( -1.1 );
// returns NaN

Examples

var uniform = require( '@stdlib/random-array-uniform' );
var logEachMap = require( '@stdlib/console-log-each-map' );
var stdev = require( '@stdlib/stats-base-dists-planck-stdev' );

var opts = {
    'dtype': 'float64'
};
var lambda = uniform( 10, 0.1, 10.0, opts );

logEachMap( 'λ: %0.4f, SD(X;λ): %0.4f', lambda, stdev );

C APIs

Usage

#include "stdlib/stats/base/dists/planck/stdev.h"

stdlib_base_dists_planck_stdev( lambda )

Returns the standard deviation of a Planck distribution with shape parameter λ.

double out = stdlib_base_dists_planck_stdev( 0.1 );
// returns ~9.9958

The function accepts the following arguments:

• lambda: [in] double shape parameter.

double stdlib_base_dists_planck_stdev( const double lambda );

Examples

#include "stdlib/stats/base/dists/planck/stdev.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 lambda;
    double y;
    int i;

    for ( i = 0; i < 25; i++ ) {
        lambda = random_uniform( 0.1, 10.0 );
        y = stdlib_base_dists_planck_stdev( lambda );
        printf( "λ: %lf, SD(X;λ): %lf\n", lambda, 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.

Community

License

See LICENSE.

Copyright

Copyright © 2016-2026. The Stdlib Authors.