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Uniform distribution constructor.
import Uniform from 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-dists-uniform-ctor@esm/index.mjs';Returns an uniform distribution object.
var uniform = new Uniform();
var mu = uniform.mean;
// returns 0.5By default, a = 0.0 and b = 1.0. To create a distribution having a different a (minimum support) and b (maximum support), provide the corresponding arguments.
var uniform = new Uniform( 2.0, 4.0 );
var mu = uniform.mean;
// returns 3.0An uniform distribution object has the following properties and methods...
Minimum support of the distribution. a must be a number smaller than b.
var uniform = new Uniform();
var a = uniform.a;
// returns 0.0
uniform.a = 0.5;
a = uniform.a;
// returns 0.5Maximum support of the distribution. b must be a number larger than a.
var uniform = new Uniform( 2.0, 4.0 );
var b = uniform.b;
// returns 4.0
uniform.b = 3.0;
b = uniform.b;
// returns 3.0Returns the differential entropy.
var uniform = new Uniform( 4.0, 12.0 );
var entropy = uniform.entropy;
// returns ~2.079Returns the excess kurtosis.
var uniform = new Uniform( 4.0, 12.0 );
var kurtosis = uniform.kurtosis;
// returns -1.2Returns the expected value.
var uniform = new Uniform( 4.0, 12.0 );
var mu = uniform.mean;
// returns 8.0Returns the median.
var uniform = new Uniform( 4.0, 12.0 );
var median = uniform.median;
// returns 8.0Returns the skewness.
var uniform = new Uniform( 4.0, 12.0 );
var skewness = uniform.skewness;
// returns 0.0Returns the standard deviation.
var uniform = new Uniform( 4.0, 12.0 );
var s = uniform.stdev;
// returns ~2.309Returns the variance.
var uniform = new Uniform( 4.0, 12.0 );
var s2 = uniform.variance;
// returns ~5.333Evaluates the cumulative distribution function (CDF).
var uniform = new Uniform( 2.0, 4.0 );
var y = uniform.cdf( 2.5 );
// returns 0.25Evaluates the natural logarithm of the cumulative distribution function (CDF).
var uniform = new Uniform( 2.0, 4.0 );
var y = uniform.logcdf( 2.5 );
// returns ~-1.386Evaluates the natural logarithm of the probability density function (PDF).
var uniform = new Uniform( 2.0, 4.0 );
var y = uniform.logpdf( 2.5 );
// returns ~-0.693Evaluates the probability density function (PDF).
var uniform = new Uniform( 2.0, 4.0 );
var y = uniform.pdf( 2.5 );
// returns 0.5Evaluates the quantile function at probability p.
var uniform = new Uniform( 2.0, 4.0 );
var y = uniform.quantile( 0.5 );
// returns 3.0
y = uniform.quantile( 1.9 );
// returns NaN<!DOCTYPE html>
<html lang="en">
<body>
<script type="module">
import Uniform from 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-dists-uniform-ctor@esm/index.mjs';
var uniform = new Uniform( 2.0, 4.0 );
var mu = uniform.mean;
// returns 3.0
var median = uniform.median;
// returns 3.0
var s2 = uniform.variance;
// returns ~0.333
var y = uniform.cdf( 2.5 );
// returns 0.25
</script>
</body>
</html>This package is part of stdlib, a standard library 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.
See LICENSE.
Copyright © 2016-2025. The Stdlib Authors.
