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Skewness
Beta prime distribution skewness.
The skewness for a beta prime random variable with first shape parameter α and second shape parameter β is
when α > 0 and β > 3. Otherwise, the skewness is not defined.
Usage
var skewness = require( '@stdlib/stats/base/dists/betaprime/skewness' );
skewness( alpha, beta )
Returns the skewness of a beta prime distribution with parameters alpha (first shape parameter) and beta (second shape parameter).
var v = skewness( 2.0, 4.0 );
// returns ~6.261
v = skewness( 4.0, 12.0 );
// returns ~1.724
v = skewness( 8.0, 4.0 );
// returns ~5.729
If provided NaN as any argument, the function returns NaN.
var v = skewness( NaN, 4.0 );
// returns NaN
v = skewness( 2.0, NaN );
// returns NaN
If provided alpha <= 0, the function returns NaN.
var v = skewness( 0.0, 4.0 );
// returns NaN
v = skewness( -1.0, 4.0 );
// returns NaN
If provided beta <= 3, the function returns NaN.
var v = skewness( 1.0, 2.5 );
// returns NaN
v = skewness( 1.0, 0.0 );
// returns NaN
v = skewness( 1.0, -1.0 );
// returns NaN
Examples
var randu = require( '@stdlib/random/base/randu' );
var EPS = require( '@stdlib/constants/float64/eps' );
var skewness = require( '@stdlib/stats/base/dists/betaprime/skewness' );
var alpha;
var beta;
var v;
var i;
for ( i = 0; i < 10; i++ ) {
alpha = ( randu()*10.0 ) + EPS;
beta = ( randu()*10.0 ) + 3.0 + EPS;
v = skewness( alpha, beta );
console.log( 'α: %d, β: %d, skew(X;α,β): %d', alpha.toFixed( 4 ), beta.toFixed( 4 ), v.toFixed( 4 ) );
}