# @stdlib/stats-base-dists-uniform-median

0.2.2 • Public • Published

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# Median

Uniform distribution median.

The median 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-median

## Usage

var median = require( '@stdlib/stats-base-dists-uniform-median' );

#### median( a, b )

Returns the median of a uniform distribution with parameters a (minimum support) and b (maximum support).

var v = median( 0.0, 1.0 );
// returns 0.5

v = median( 4.0, 12.0 );
// returns 8.0

v = median( 2.0, 8.0 );
// returns 5.0

If provided NaN as any argument, the function returns NaN.

var v = median( NaN, 2.0 );
// returns NaN

v = median( 2.0, NaN );
// returns NaN

If provided a >= b, the function returns NaN.

var y = median( 3.0, 2.0 );
// returns NaN

y = median( 3.0, 3.0 );
// returns NaN

## Examples

var randu = require( '@stdlib/random-base-randu' );
var median = require( '@stdlib/stats-base-dists-uniform-median' );

var a;
var b;
var v;
var i;

for ( i = 0; i < 10; i++ ) {
a = ( randu()*10.0 );
b = ( randu()*10.0 ) + a;
v = median( a, b );
console.log( 'a: %d, b: %d, Median(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.

## Package Sidebar

### Install

npm i @stdlib/stats-base-dists-uniform-median

stdlib.io

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