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Kumaraswamy
Kumaraswamy's double bounded distribution.
Installation
npm install @stdlib/stats-base-dists-kumaraswamy
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.
Copyright
Copyright © 2016-2024. The Stdlib Authors.