6.8 KiB
6.8 KiB
Kumaraswamy
Kumaraswamy's double bounded distribution.
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 ) );