Mean

Uniform distribution expected value.

The expected value for a uniform random variable is

double-struck upper E left-bracket upper X right-bracket equals 0.5 dot left-parenthesis a plus b right-parenthesis

where a is the minimum support and b the maximum support of the distribution.

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 ) );
}

C APIs

Usage

#include "stdlib/stats/base/dists/uniform/mean.h"

stdlib_base_dists_uniform_mean( a, b )

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

double out = stdlib_base_dists_uniform_mean( 0.0, 1.0 );
// returns 0.5

The function accepts the following arguments:

  • a: [in] double minimum support.
  • b: [in] double maximum support.
double stdlib_base_dists_uniform_mean( const double a, const double b );

Examples

#include "stdlib/stats/base/dists/uniform/mean.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 a;
    double b;
    double y;
    int i;

    for ( i = 0; i < 25; i++ ) {
        a = random_uniform( 0.0, 10.0 );
        b = random_uniform( a, 20.0 ); // ensure b > a
        y = stdlib_base_dists_uniform_mean( a, b );
        printf( "a: %lf, b: %lf, E(X;a,b): %lf\n", a, b, y );
    }
}
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