time-to-botec/js/node_modules/@stdlib/stats/base/dists/erlang/entropy
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Necessary in order to clearly see the squiggle hotwiring.
2022-12-03 12:44:49 +00:00
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Entropy

Erlang distribution differential entropy.

The differential entropy for an Erlang random variable with shape k and rate λ is

Differential entropy for an Erlang distribution.

where Γ and Ψ denote the gamma and digamma function, respectively.

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 ) );
}