# Probability Density Function

Uniform distribution probability density function (PDF).

The probability density function (PDF) for a continuous uniform random variable is

where a is the minimum support and b is the maximum support of the distribution. The parameters must satisfy a < b.

## Usage

var pdf = require( '@stdlib/math/base/dists/uniform/pdf' );


#### pdf( x, a, b )

Evaluates the probability density function (PDF) for a continuous uniform distribution with parameters a (minimum support) and b (maximum support).

var y = pdf( 2.0, 0.0, 4.0 );
// returns 0.25

y = pdf( 5.0, 0.0, 4.0 );
// returns 0.0

y = pdf( 0.25, 0.0, 1.0 );
// returns 1.0


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

var y = pdf( NaN, 0.0, 1.0 );
// returns NaN

y = pdf( 0.0, NaN, 1.0 );
// returns NaN

y = pdf( 0.0, 0.0, NaN );
// returns NaN


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

var y = pdf( 2.5, 3.0, 2.0 );
// returns NaN

y = pdf( 2.5, 3.0, 3.0 );
// returns NaN


#### pdf.factory( a, b )

Returns a function for evaluating the PDF of a continuous uniform distribution with parameters a (minimum support) and b (maximum support).

var myPDF = pdf.factory( 6.0, 7.0 );
var y = myPDF( 7.0 );
// returns 1.0

y = myPDF( 5.0 );
// returns 0.0


## Examples

var randu = require( '@stdlib/random/base/randu' );
var pdf = require( '@stdlib/math/base/dists/uniform/pdf' );

var a;
var b;
var x;
var y;
var i;

for ( i = 0; i < 25; i++ ) {
x = (randu() * 20.0) - 10.0;
a = (randu() * 20.0) - 20.0;
b = a + (randu() * 40.0);
y = pdf( x, a, b );
console.log( 'x: %d, a: %d, b: %d, f(x;a,b): %d', x.toFixed( 4 ), a.toFixed( 4 ), b.toFixed( 4 ), y.toFixed( 4 ) );
}