@stdlib/stats-base-dists-erlang-entropy
v0.2.2
Published
Erlang distribution differential entropy.
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Entropy
Erlang distribution differential entropy.
The differential entropy for an Erlang random variable with shape k
and rate λ
is
where Γ
and Ψ
denote the gamma and digamma function, respectively.
Installation
npm install @stdlib/stats-base-dists-erlang-entropy
Usage
var entropy = require( '@stdlib/stats-base-dists-erlang-entropy' );
entropy( k, lambda )
Returns the differential entropy of an Erlang distribution with parameters shape k
and rate lambda
(in nats).
var v = entropy( 1, 1.0 );
// returns 1.0
v = entropy( 4, 12.0 );
// returns ~-0.462
v = entropy( 8, 2.0 );
// returns ~1.723
If provided NaN
as any argument, the function returns NaN
.
var v = entropy( NaN, 2.0 );
// returns NaN
v = entropy( 2.0, NaN );
// returns NaN
If not provided a positive integer for k
, the function returns NaN
.
var v = entropy( 1.8, 1.0 );
// returns NaN
v = entropy( -1.0, 1.0 );
// returns NaN
If provided lambda <= 0
, the function returns NaN
.
var v = entropy( 2, 0.0 );
// returns NaN
v = entropy( 2, -1.0 );
// returns NaN
Examples
var randu = require( '@stdlib/random-base-randu' );
var round = require( '@stdlib/math-base-special-round' );
var EPS = require( '@stdlib/constants-float64-eps' );
var entropy = require( '@stdlib/stats-base-dists-erlang-entropy' );
var lambda;
var k;
var v;
var i;
for ( i = 0; i < 10; i++ ) {
k = round( randu()*10.0 );
lambda = ( randu()*10.0 ) + EPS;
v = entropy( k, lambda );
console.log( 'k: %d, λ: %d, h(X;k,λ): %d', k.toFixed( 4 ), lambda.toFixed( 4 ), v.toFixed( 4 ) );
}
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.