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Kumaraswamy

Kumaraswamy's double bounded distribution.

Installation

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

Alternatively,

To load the package in a website via a script tag without installation and bundlers, use the ES Module available on the esm branch (see README).
If you are using Deno, visit the deno branch (see README for usage intructions).
For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the umd branch (see README).

The branches.md file summarizes the available branches and displays a diagram illustrating their relationships.

To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.

Usage

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

kumaraswamy

Kumaraswamy's double bounded distribution.

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

The namespace contains the following distribution functions:

cdf( x, a, b ): Kumaraswamy's double bounded distribution cumulative distribution function.
logcdf( x, a, b ): evaluate the natural logarithm of the cumulative distribution function for a Kumaraswamy's double bounded distribution.
logpdf( x, a, b ): evaluate the natural logarithm of the probability density function for a Kumaraswamy's double bounded distribution.
pdf( x, a, b ): Kumaraswamy's double bounded distribution probability density function.
quantile( p, a, b ): Kumaraswamy's double bounded distribution quantile function.

The namespace contains the following functions for calculating distribution properties:

kurtosis( a, b ): Kumaraswamy's double bounded distribution excess kurtosis.
mean( a, b ): Kumaraswamy's double bounded distribution expected value.
median( a, b ): Kumaraswamy's double bounded distribution median.
mode( a, b ): Kumaraswamy's double bounded distribution mode.
skewness( a, b ): Kumaraswamy's double bounded distribution skewness.
stdev( a, b ): Kumaraswamy's double bounded distribution standard deviation.
variance( a, b ): Kumaraswamy's double bounded distribution variance.

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

Kumaraswamy( [a, b] ): Kumaraswamy's double bounded distribution constructor.

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

Examples

var objectKeys = require( '@stdlib/utils-keys' );
var kumaraswamy = require( '@stdlib/stats-base-dists-kumaraswamy' );

console.log( objectKeys( kumaraswamy ) );

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.

Community

License

See LICENSE.

stdlib-js/stats-base-dists-kumaraswamy