@stdlib/stats-base-dists-uniform-mean
v0.2.2
Published
Uniform distribution expected value.
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Mean
Uniform distribution expected value.
The expected value for a uniform random variable is
where a
is the minimum support and b
the maximum support of the distribution.
Installation
npm install @stdlib/stats-base-dists-uniform-mean
Usage
var mean = require( '@stdlib/stats-base-dists-uniform-mean' );
mean( a, b )
Returns the expected value of a uniform distribution with parameters a
(minimum support) and b
(maximum support).
var v = mean( 0.0, 1.0 );
// returns 0.5
v = mean( 4.0, 12.0 );
// returns 8.0
v = mean( 2.0, 8.0 );
// returns 5.0
If provided NaN
as any argument, the function returns NaN
.
var v = mean( NaN, 2.0 );
// returns NaN
v = mean( 2.0, NaN );
// returns NaN
If provided a >= b
, the function returns NaN
.
var y = mean( 3.0, 2.0 );
// returns NaN
y = mean( 3.0, 3.0 );
// returns NaN
Examples
var randu = require( '@stdlib/random-base-randu' );
var mean = require( '@stdlib/stats-base-dists-uniform-mean' );
var a;
var b;
var v;
var i;
for ( i = 0; i < 10; i++ ) {
a = ( randu()*10.0 );
b = ( randu()*10.0 ) + a;
v = mean( a, b );
console.log( 'a: %d, b: %d, E(X;a,b): %d', a.toFixed( 4 ), b.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.