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Entropy
Chi distribution differential entropy.
The differential entropy (in nats) for a chi random variable is
where k > 0
is the degrees of freedom and Γ
and Ψ
denote the gamma and digamma functions, respectively.
Usage
var entropy = require( '@stdlib/stats/base/dists/chi/entropy' );
entropy( k )
Returns the differential entropy of a chi distribution with degrees of freedom k
(in nats).
var v = entropy( 9.0 );
// returns ~1.052
v = entropy( 0.5 );
// returns ~0.135
If provided k <= 0
, the function returns NaN
.
var v = entropy( -1.0 );
// returns NaN
Examples
var randu = require( '@stdlib/random/base/randu' );
var round = require( '@stdlib/math/base/special/round' );
var entropy = require( '@stdlib/stats/base/dists/chi/entropy' );
var k;
var v;
var i;
for ( i = 0; i < 10; i++ ) {
k = randu() * 20.0;
v = entropy( k );
console.log( 'k: %d, h(X,k): %d', k.toFixed( 4 ), v.toFixed( 4 ) );
}