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README.md |
Skewness
Kumaraswamy's double bounded distribution skewness.
The skewness for a Kumaraswamy's double bounded random variable with first shape parameter a
and second shape parameter b
is
where σ^2
is the variance and the raw moments of the distribution are given by
with B
denoting the beta function.
Usage
var skewness = require( '@stdlib/stats/base/dists/kumaraswamy/skewness' );
skewness( a, b )
Returns the skewness of a Kumaraswamy's double bounded distribution with first shape parameter a
and second shape parameter b
.
var v = skewness( 1.0, 1.0 );
// returns ~0.0
v = skewness( 4.0, 12.0 );
// returns ~-0.201
v = skewness( 2.0, 8.0 );
// returns ~0.384
If provided NaN
as any argument, the function returns NaN
.
var v = skewness( NaN, 2.0 );
// returns NaN
v = skewness( 2.0, NaN );
// returns NaN
If provided a <= 0
, the function returns NaN
.
var y = skewness( -1.0, 0.5 );
// returns NaN
y = skewness( 0.0, 0.5 );
// returns NaN
If provided b <= 0
, the function returns NaN
.
var y = skewness( 0.5, -1.0 );
// returns NaN
y = skewness( 0.5, 0.0 );
// returns NaN
Examples
var randu = require( '@stdlib/random/base/randu' );
var skewness = require( '@stdlib/stats/base/dists/kumaraswamy/skewness' );
var a;
var b;
var v;
var i;
for ( i = 0; i < 10; i++ ) {
a = randu() * 10.0;
b = randu() * 10.0;
v = skewness( a, b );
console.log( 'a: %d, b: %d, skew(X;a,b): %d', a.toFixed( 4 ), b.toFixed( 4 ), v.toFixed( 4 ) );
}