chore: minor clean-up and add comment

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
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---

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/bradford/skewness/lib/main.js

@@ -52,13 +52,25 @@ var ln = require( '@stdlib/math/base/special/ln' );
 */
 function skewness( c ) {
 	var ans;
+	var t1;
+	var t2;
+	var t3;
 	var p;
+
 	if ( isnan( c ) || c <= 0.0 ) {
 		return NaN;
 	}
+
 	p = ln( 1.0 + c );
-	ans = SQRT2*( (12*c*c) - (9*c*p*(c+2)) + (2*p*p*((c*(c+3)) + 3)) );
-	ans /= sqrt(c*((c*(p-2)) + (2*p)))*( (3*c*(p-2)) + (6*p));
+
+	t1 = 12.0 * ( c*c );
+	t2 = 9.0 * c * p * ( c + 2.0 );
+	t3 = 2.0 * ( p*p ) * ( ( c * ( c + 3.0 ) ) + 3.0 );
+	ans = SQRT2 * ( t1 - t2 + t3 );
+
+	t1 = c * ( ( c * ( p - 2.0 ) ) + ( 2.0 * p ) );
+	t2 = ( 3.0 * c * ( p - 2.0 ) ) + ( 6.0 * p );
+	ans /= sqrt( t1 ) * t2;
 	return ans;
 }
 

lib/node_modules/@stdlib/stats/base/dists/bradford/skewness/test/test.js

@@ -78,6 +78,17 @@ tape( 'the function returns the skewness of a bradford distribution', function t
 			t.equal( y, expected[i], 'x:'+x[i]+', y: '+y+', expected: '+expected[i] );
 		} else {
 			delta = abs( y - expected[ i ] );
+
+			/*
+			* NOTE: the tolerance is set high in this case due to the numerically challenging nature of the Bradford distribution skewness formula, which involves:
+			*
+			* 1. Complex expressions with nested logarithmic terms ln(1+c)
+			* 2. Square roots in both numerator and denominator
+			* 3. Products and differences of terms involving c and ln(1+c) that can be sensitive to floating-point precision
+			* 4. The SQRT2 factor amplifying any accumulated numerical errors
+			*
+			* Out of 1000 test cases, only 1 requires tolerance higher than 500*EPS (specifically c=0.4 needs ~20000*EPS).
+			*/
 			tol = 20000 * EPS * abs( expected[ i ] );
 			t.ok( delta <= tol, 'within tolerance. x: '+x[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
 		}