@stdlib/stats-base-dists-geometric-mean
v0.2.2
Published
Geometric distribution expected value.
Downloads
316
Readme
Mean
Geometric distribution expected value.
The expected value for a geometric random variable is
where p
is the success probability.
Installation
npm install @stdlib/stats-base-dists-geometric-mean
Usage
var mean = require( '@stdlib/stats-base-dists-geometric-mean' );
mean( p )
Returns the expected value of a geometric distribution with success probability p
.
var v = mean( 0.1 );
// returns 9.0
v = mean( 0.5 );
// returns 1.0
If provided a success probability p
outside of [0,1]
, the function returns NaN
.
var v = mean( NaN );
// returns NaN
v = mean( 1.5 );
// returns NaN
v = mean( -1.0 );
// returns NaN
Examples
var randu = require( '@stdlib/random-base-randu' );
var round = require( '@stdlib/math-base-special-round' );
var mean = require( '@stdlib/stats-base-dists-geometric-mean' );
var v;
var i;
var p;
for ( i = 0; i < 10; i++ ) {
p = randu();
v = mean( p );
console.log( 'p: %d, E(X;p): %d', p.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.
Copyright
Copyright © 2016-2024. The Stdlib Authors.