@stdlib/stats-base-dists-poisson-stdev
v0.3.1
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Poisson distribution standard deviation.
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Standard Deviation
Poisson distribution standard deviation.
The standard deviation for a Poisson random variable is
where λ is the mean parameter.
Installation
npm install @stdlib/stats-base-dists-poisson-stdevUsage
var stdev = require( '@stdlib/stats-base-dists-poisson-stdev' );stdev( lambda )
Returns the standard deviation of a Poisson distribution with mean parameter lambda.
var v = stdev( 9.0 );
// returns 3.0
v = stdev( 0.5 );
// returns ~0.707If provided lambda < 0, the function returns NaN.
var v = stdev( -1.0 );
// returns NaNExamples
var uniform = require( '@stdlib/random-array-uniform' );
var logEachMap = require( '@stdlib/console-log-each-map' );
var stdev = require( '@stdlib/stats-base-dists-poisson-stdev' );
var opts = {
'dtype': 'float64'
};
var lambda = uniform( 10, 0.0, 20.0, opts );
logEachMap( 'λ: %0.4f, SD(X;λ): %0.4f', lambda, stdev );C APIs
Usage
#include "stdlib/stats/base/dists/poisson/stdev.h"stdlib_base_dists_poisson_stdev( lambda )
Returns the standard deviation of a Poisson distribution with mean parameter lambda.
double out = stdlib_base_dists_poisson_stdev( 9.0 );
// returns 3.0The function accepts the following arguments:
- lambda:
[in] doublemean parameter.
double stdlib_base_dists_poisson_stdev( const double lambda );Examples
#include "stdlib/stats/base/dists/poisson/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 < 10; i++ ) {
lambda = random_uniform( 0.0, 10.0 );
y = stdlib_base_dists_poisson_stdev( lambda );
printf( "λ: %.4f, SD(X;λ): %.4f\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.
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License
See LICENSE.
Copyright
Copyright © 2016-2026. The Stdlib Authors.
