@stdlib/stats-base-dists-poisson-cdf
v0.2.2
Published
Poisson distribution cumulative distribution function (CDF).
Downloads
12,217
Readme
Cumulative Distribution Function
Poisson distribution cumulative distribution function.
The cumulative distribution function for a Poisson random variable is
where lambda
is the mean parameter. Internally, the module evaluates the CDF by evaluating the upper regularized gamma function at input values lambda
and floor( x ) + 1
.
Installation
npm install @stdlib/stats-base-dists-poisson-cdf
Usage
var cdf = require( '@stdlib/stats-base-dists-poisson-cdf' );
cdf( x, lambda )
Evaluates the cumulative distribution function for a Poisson distribution with mean parameter lambda
.
var y = cdf( 2.0, 0.5 );
// returns ~0.986
y = cdf( 2.0, 10.0 );
// returns ~0.003
y = cdf( -1.0, 4.0 );
// returns 0.0
If provided NaN
as any argument, the function returns NaN
.
var y = cdf( NaN, 1.0 );
// returns NaN
y = cdf( 0.0, NaN );
// returns NaN
If provided lambda < 0
, the function returns NaN
.
var y = cdf( 2.0, -1.0 );
// returns NaN
If provided lambda = 0
, the function evaluates the CDF of a degenerate distribution centered at 0
.
var y = cdf( -2.0, 0.0 );
// returns 0.0
y = cdf( 0.0, 0.0 );
// returns 1.0
y = cdf( 10.0, 0.0 );
// returns 1.0
cdf.factory( lambda )
Returns a function for evaluating the cumulative distribution function of a Poisson distribution with mean parameter lambda
.
var mycdf = cdf.factory( 5.0 );
var y = mycdf( 3.0 );
// returns ~0.265
y = mycdf( 8.0 );
// returns ~0.932
Examples
var randu = require( '@stdlib/random-base-randu' );
var cdf = require( '@stdlib/stats-base-dists-poisson-cdf' );
var lambda;
var x;
var y;
var i;
for ( i = 0; i < 10; i++ ) {
x = randu() * 10.0;
lambda = randu() * 10.0;
y = cdf( x, lambda );
console.log( 'x: %d, λ: %d, F(x;λ): %d', x.toFixed( 4 ), lambda.toFixed( 4 ), y.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.
Copyright
Copyright © 2016-2024. The Stdlib Authors.