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README.md |
Kurtosis
Bernoulli distribution excess kurtosis.
The excess kurtosis for a Bernoulli random variable is
where p
is the success probability and q = 1 - p
.
Usage
var kurtosis = require( '@stdlib/stats/base/dists/bernoulli/kurtosis' );
kurtosis( p )
Returns the excess kurtosis of a Bernoulli distribution with success probability p
.
var v = kurtosis( 0.1 );
// returns ~5.111
v = kurtosis( 0.5 );
// returns -2.0
If provided a success probability p
outside of [0,1]
, the function returns NaN
.
var v = kurtosis( NaN );
// returns NaN
v = kurtosis( 1.5 );
// returns NaN
v = kurtosis( -1.0 );
// returns NaN
Examples
var randu = require( '@stdlib/random/base/randu' );
var round = require( '@stdlib/math/base/special/round' );
var kurtosis = require( '@stdlib/stats/base/dists/bernoulli/kurtosis' );
var v;
var i;
var p;
for ( i = 0; i < 10; i++ ) {
p = randu();
v = kurtosis( p );
console.log( 'p: %d, Kurt(X;p): %d', p.toFixed( 4 ), v.toFixed( 4 ) );
}