npm package: @stdlib/stats-base-dists-kumaraswamy
Description: Kumaraswamy's double bounded distribution.
Author: The Stdlib Authors
Latest version: 0.3.1

<!--

@license Apache-2.0

Copyright (c) 2018 The Stdlib Authors.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

   http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

-->


<details>
  <summary>
    About stdlib...
  </summary>
  <p>We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.</p>
  <p>The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.</p>
  <p>When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.</p>
  <p>To join us in bringing numerical computing to the web, get started by checking us out on <a href="https://github.com/stdlib-js/stdlib">GitHub</a>, and please consider <a href="https://opencollective.com/stdlib">financially supporting stdlib</a>. We greatly appreciate your continued support!</p>
</details>

# Kumaraswamy

[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url] <!-- [![dependencies][dependencies-image]][dependencies-url] -->

> Kumaraswamy's double bounded distribution.

<section class="installation">

## Installation

```bash
npm install @stdlib/stats-base-dists-kumaraswamy
```

</section>

<section class="usage">

## Usage

```javascript
var kumaraswamy = require( '@stdlib/stats-base-dists-kumaraswamy' );
```

#### kumaraswamy

Kumaraswamy's double bounded distribution.

```javascript
var dist = kumaraswamy;
// returns {...}
```

The namespace contains the following distribution functions:

<!-- <toc pattern="*+(cdf|pdf|mgf|quantile)*"> -->

<div class="namespace-toc">

-   <span class="signature">[`cdf( x, a, b )`][@stdlib/stats/base/dists/kumaraswamy/cdf]</span><span class="delimiter">: </span><span class="description">Kumaraswamy's double bounded distribution cumulative distribution function.</span>
-   <span class="signature">[`logcdf( x, a, b )`][@stdlib/stats/base/dists/kumaraswamy/logcdf]</span><span class="delimiter">: </span><span class="description">evaluate the natural logarithm of the cumulative distribution function for a Kumaraswamy's double bounded distribution.</span>
-   <span class="signature">[`logpdf( x, a, b )`][@stdlib/stats/base/dists/kumaraswamy/logpdf]</span><span class="delimiter">: </span><span class="description">evaluate the natural logarithm of the probability density function for a Kumaraswamy's double bounded distribution.</span>
-   <span class="signature">[`pdf( x, a, b )`][@stdlib/stats/base/dists/kumaraswamy/pdf]</span><span class="delimiter">: </span><span class="description">Kumaraswamy's double bounded distribution probability density function.</span>
-   <span class="signature">[`quantile( p, a, b )`][@stdlib/stats/base/dists/kumaraswamy/quantile]</span><span class="delimiter">: </span><span class="description">Kumaraswamy's double bounded distribution quantile function.</span>

</div>

<!-- </toc> -->

The namespace contains the following functions for calculating distribution properties:

<!-- <toc pattern="*+(entropy|kurtosis|mean|median|mode|skewness|stdev|variance)*"> -->

<div class="namespace-toc">

-   <span class="signature">[`kurtosis( a, b )`][@stdlib/stats/base/dists/kumaraswamy/kurtosis]</span><span class="delimiter">: </span><span class="description">Kumaraswamy's double bounded distribution excess kurtosis.</span>
-   <span class="signature">[`mean( a, b )`][@stdlib/stats/base/dists/kumaraswamy/mean]</span><span class="delimiter">: </span><span class="description">Kumaraswamy's double bounded distribution expected value.</span>
-   <span class="signature">[`median( a, b )`][@stdlib/stats/base/dists/kumaraswamy/median]</span><span class="delimiter">: </span><span class="description">Kumaraswamy's double bounded distribution median.</span>
-   <span class="signature">[`mode( a, b )`][@stdlib/stats/base/dists/kumaraswamy/mode]</span><span class="delimiter">: </span><span class="description">Kumaraswamy's double bounded distribution mode.</span>
-   <span class="signature">[`skewness( a, b )`][@stdlib/stats/base/dists/kumaraswamy/skewness]</span><span class="delimiter">: </span><span class="description">Kumaraswamy's double bounded distribution skewness.</span>
-   <span class="signature">[`stdev( a, b )`][@stdlib/stats/base/dists/kumaraswamy/stdev]</span><span class="delimiter">: </span><span class="description">Kumaraswamy's double bounded distribution standard deviation.</span>
-   <span class="signature">[`variance( a, b )`][@stdlib/stats/base/dists/kumaraswamy/variance]</span><span class="delimiter">: </span><span class="description">Kumaraswamy's double bounded distribution variance.</span>

</div>

<!-- </toc> -->

The namespace contains a constructor function for creating a [Kumaraswamy's double bounded][kumaraswamy-distribution] distribution object.

<!-- <toc pattern="*ctor*"> -->

<div class="namespace-toc">

-   <span class="signature">[`Kumaraswamy( [a, b] )`][@stdlib/stats/base/dists/kumaraswamy/ctor]</span><span class="delimiter">: </span><span class="description">Kumaraswamy's double bounded distribution constructor.</span>

</div>

<!-- </toc> -->

```javascript
var Kumaraswamy = require( '@stdlib/stats-base-dists-kumaraswamy' ).Kumaraswamy;

var dist = new Kumaraswamy( 2.0, 4.0 );

var y = dist.logpdf( 0.8 );
// returns ~-1.209
```

</section>

<!-- /.usage -->

<section class="examples">

## Examples

<!-- eslint no-undef: "error" -->

```javascript
var kumaraswamy = require( '@stdlib/stats-base-dists-kumaraswamy' );

// Create a Kumaraswamy distribution object:
var a = 2.0;
var b = 5.0;
var dist = new kumaraswamy.Kumaraswamy( a, b );

// Calculate basic distribution properties:
console.log( 'Mean: %d', dist.mean );
console.log( 'Median: %d', dist.median );
console.log( 'Mode: %d', dist.mode );
console.log( 'Variance: %d', dist.variance );

// Evaluate the probability density function (PDF):
var x = 0.5;
var y = dist.pdf( x );
console.log( 'PDF at x = %d: %d', x, y );

// Evaluate the cumulative distribution function (CDF):
y = dist.cdf( x );
console.log( 'CDF at x = %d: %d', x, y );

// Evaluate the natural logarithm of PDF and CDF:
console.log( 'Log PDF at x = %d: %d', x, dist.logpdf( x ) );
console.log( 'Log CDF at x = %d: %d', x, dist.logcdf( x ) );

// Calculate the quantile for a given probability:
var p = 0.75;
x = dist.quantile( p );
console.log( 'Quantile at p = %d: %d', p, x );

// Use standalone distribution functions:
x = 0.3;
y = kumaraswamy.pdf( x, a, b );
console.log( 'Standalone PDF at x = %d: %d', x, y );

y = kumaraswamy.cdf( x, a, b );
console.log( 'Standalone CDF at x = %d: %d', x, y );

y = kumaraswamy.quantile( 0.9, a, b );
console.log( 'Standalone Quantile at p = 0.9: %d', y );

// Calculate additional distribution properties:
console.log( 'Kurtosis: %d', kumaraswamy.kurtosis( a, b ) );
console.log( 'Skewness: %d', kumaraswamy.skewness( a, b ) );
console.log( 'Standard Deviation: %d', kumaraswamy.stdev( a, b ) );

// Demonstrate the effect of different shape parameters:
console.log( '\nEffect of shape parameters:' );
var shapes = [
    [ 0.5, 0.5 ],
    [ 5.0, 1.0 ],
    [ 1.0, 5.0 ],
    [ 2.0, 2.0 ],
    [ 10.0, 10.0 ]
];
var params;
var i;
for ( i = 0; i < shapes.length; i++ ) {
    params = shapes[i];
    console.log( '\na = %d, b = %d', params[0], params[1] );
    console.log( 'Mean: %d', kumaraswamy.mean( params[0], params[1] ) );
    console.log( 'Median: %d', kumaraswamy.median( params[0], params[1] ) );
    console.log( 'Mode: %d', kumaraswamy.mode( params[0], params[1] ) );
    console.log( 'Skewness: %d', kumaraswamy.skewness( params[0], params[1] ) );
}
```

</section>

<!-- /.examples -->

<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->

<section class="related">

</section>

<!-- /.related -->

<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->


<section class="main-repo" >

* * *

## Notice

This package is part of [stdlib][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][stdlib], see the main project [repository][stdlib].

#### Community

[![Chat][chat-image]][chat-url]

---

## License

See [LICENSE][stdlib-license].


## Copyright

Copyright &copy; 2016-2026. The Stdlib [Authors][stdlib-authors].

</section>

<!-- /.stdlib -->

<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="links">

[npm-image]: http://img.shields.io/npm/v/@stdlib/stats-base-dists-kumaraswamy.svg
[npm-url]: https://npmjs.org/package/@stdlib/stats-base-dists-kumaraswamy

[test-image]: https://github.com/stdlib-js/stats-base-dists-kumaraswamy/actions/workflows/test.yml/badge.svg?branch=v0.3.1
[test-url]: https://github.com/stdlib-js/stats-base-dists-kumaraswamy/actions/workflows/test.yml?query=branch:v0.3.1

[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/stats-base-dists-kumaraswamy/main.svg
[coverage-url]: https://codecov.io/github/stdlib-js/stats-base-dists-kumaraswamy?branch=main

<!--

[dependencies-image]: https://img.shields.io/david/stdlib-js/stats-base-dists-kumaraswamy.svg
[dependencies-url]: https://david-dm.org/stdlib-js/stats-base-dists-kumaraswamy/main

-->

[chat-image]: https://img.shields.io/badge/zulip-join_chat-brightgreen.svg
[chat-url]: https://stdlib.zulipchat.com

[stdlib]: https://github.com/stdlib-js/stdlib

[stdlib-authors]: https://github.com/stdlib-js/stdlib/graphs/contributors

[umd]: https://github.com/umdjs/umd
[es-module]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Modules

[deno-url]: https://github.com/stdlib-js/stats-base-dists-kumaraswamy/tree/deno
[deno-readme]: https://github.com/stdlib-js/stats-base-dists-kumaraswamy/blob/deno/README.md
[umd-url]: https://github.com/stdlib-js/stats-base-dists-kumaraswamy/tree/umd
[umd-readme]: https://github.com/stdlib-js/stats-base-dists-kumaraswamy/blob/umd/README.md
[esm-url]: https://github.com/stdlib-js/stats-base-dists-kumaraswamy/tree/esm
[esm-readme]: https://github.com/stdlib-js/stats-base-dists-kumaraswamy/blob/esm/README.md
[branches-url]: https://github.com/stdlib-js/stats-base-dists-kumaraswamy/blob/main/branches.md

[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/stats-base-dists-kumaraswamy/main/LICENSE

[kumaraswamy-distribution]: https://en.wikipedia.org/wiki/Kumaraswamy_distribution

<!-- <toc-links> -->

[@stdlib/stats/base/dists/kumaraswamy/ctor]: https://www.npmjs.com/package/@stdlib/stats-base-dists-kumaraswamy-ctor

[@stdlib/stats/base/dists/kumaraswamy/kurtosis]: https://www.npmjs.com/package/@stdlib/stats-base-dists-kumaraswamy-kurtosis

[@stdlib/stats/base/dists/kumaraswamy/mean]: https://www.npmjs.com/package/@stdlib/stats-base-dists-kumaraswamy-mean

[@stdlib/stats/base/dists/kumaraswamy/median]: https://www.npmjs.com/package/@stdlib/stats-base-dists-kumaraswamy-median

[@stdlib/stats/base/dists/kumaraswamy/mode]: https://www.npmjs.com/package/@stdlib/stats-base-dists-kumaraswamy-mode

[@stdlib/stats/base/dists/kumaraswamy/skewness]: https://www.npmjs.com/package/@stdlib/stats-base-dists-kumaraswamy-skewness

[@stdlib/stats/base/dists/kumaraswamy/stdev]: https://www.npmjs.com/package/@stdlib/stats-base-dists-kumaraswamy-stdev

[@stdlib/stats/base/dists/kumaraswamy/variance]: https://www.npmjs.com/package/@stdlib/stats-base-dists-kumaraswamy-variance

[@stdlib/stats/base/dists/kumaraswamy/cdf]: https://www.npmjs.com/package/@stdlib/stats-base-dists-kumaraswamy-cdf

[@stdlib/stats/base/dists/kumaraswamy/logcdf]: https://www.npmjs.com/package/@stdlib/stats-base-dists-kumaraswamy-logcdf

[@stdlib/stats/base/dists/kumaraswamy/logpdf]: https://www.npmjs.com/package/@stdlib/stats-base-dists-kumaraswamy-logpdf

[@stdlib/stats/base/dists/kumaraswamy/pdf]: https://www.npmjs.com/package/@stdlib/stats-base-dists-kumaraswamy-pdf

[@stdlib/stats/base/dists/kumaraswamy/quantile]: https://www.npmjs.com/package/@stdlib/stats-base-dists-kumaraswamy-quantile

<!-- </toc-links> -->

</section>

<!-- /.links -->