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Entropy
Triangular distribution differential entropy.
The differential entropy (in nats) for a triangular random variable with lower limit a
, upper limit b
, and mode c
is
Usage
var entropy = require( '@stdlib/stats/base/dists/triangular/entropy' );
entropy( a, b, c )
Returns the differential entropy of a triangular distribution with minimum support a
, maximum supportb
, and mode c
(in nats).
var v = entropy( 0.0, 1.0, 0.8 );
// returns ~-0.193
v = entropy( 4.0, 12.0, 5.0 );
// returns ~1.886
v = entropy( 2.0, 8.0, 5.0 );
// returns ~1.599
If provided NaN
as any argument, the function returns NaN
.
var v = entropy( NaN, 4.0, 2.0 );
// returns NaN
v = entropy( 0.0, NaN, 2.0 );
// returns NaN
v = entropy( 0.0, 4.0, NaN );
// returns NaN
If provided parameters not satisfying a <= c <= b
, the function returns NaN
.
var y = entropy( 1.0, 0.0, 1.5 );
// returns NaN
y = entropy( 0.0, 1.0, -1.0 );
// returns NaN
y = entropy( 0.0, -1.0, 0.5 );
// returns NaN
Examples
var randu = require( '@stdlib/random/base/randu' );
var entropy = require( '@stdlib/stats/base/dists/triangular/entropy' );
var a;
var b;
var c;
var v;
var i;
for ( i = 0; i < 10; i++ ) {
a = ( randu()*10.0 );
b = ( randu()*10.0 ) + a;
c = ( randu()*( b-a ) ) + a;
v = entropy( a, b, c );
console.log( 'a: %d, b: %d, c: %d, h(X;a,b,c): %d', a.toFixed( 4 ), b.toFixed( 4 ), c.toFixed( 4 ), v.toFixed( 4 ) );
}