chore: apply suggestions from code review

Signed-off-by: Philipp Burckhardt <[email protected]>

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/normal/kurtosis/README.md

@@ -201,8 +201,8 @@ static double random_uniform( const double min, const double max ) {
 }
 
 int main( void ) {
-    double mu;
     double sigma;
+    double mu;
     double y;
     int i;
 

lib/node_modules/@stdlib/stats/base/dists/normal/kurtosis/benchmark/benchmark.js

@@ -22,7 +22,7 @@
 
 var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
@@ -42,8 +42,8 @@ bench( pkg, function benchmark( b ) {
 	mu = new Float64Array( len );
 	sigma = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		mu[ i ] = ( randu() * 100.0 ) - 50.0;
-		sigma[ i ] = ( randu() * 20.0 ) + EPS;
+		mu[ i ] = uniform( -50.0, 50.0 );
+		sigma[ i ] = uniform( EPS, 20.0 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/normal/kurtosis/examples/c/example.c

@@ -26,8 +26,8 @@ static double random_uniform( const double min, const double max ) {
 }
 
 int main( void ) {
-	double mu;
     double sigma;
+	double mu;
     double y;
     int i;
 

lib/node_modules/@stdlib/stats/base/dists/normal/kurtosis/include/stdlib/stats/base/dists/normal/kurtosis.h

@@ -27,7 +27,7 @@ extern "C" {
 #endif
 
 /**
-* Evaluates the kurtosis for a normal distribution with mean `mu` and standard deviation `sigma`.
+* Returns the excess kurtosis for a normal distribution with mean `mu` and standard deviation `sigma`.
 */
 double stdlib_base_dists_normal_kurtosis( const double mu, const double sigma );
 

lib/node_modules/@stdlib/stats/base/dists/normal/kurtosis/src/main.c

@@ -22,29 +22,13 @@
 /**
 * Returns the excess kurtosis for a normal distribution with mean `mu` and standard deviation `sigma`.
 *
-* @param mu     mean of the distribution
-* @param sigma  standard deviation of the distribution
-* @return       excess kurtosis of the normal distribution
+* @param mu     mean
+* @param sigma  standard deviation
+* @return       excess kurtosis
 *
 * @example
 * double y = stdlib_base_dists_normal_kurtosis( 0.0, 1.0 );
 * // returns 0.0
-*
-* @example
-* double y = stdlib_base_dists_normal_kurtosis( 5.0, 3.0 );
-* // returns 0.0
-*
-* @example
-* double y = stdlib_base_dists_normal_kurtosis( NAN, 1.0 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_normal_kurtosis( 0.0, NAN );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_normal_kurtosis( 0.0, 0.0 );
-* // returns NaN
 */
 double stdlib_base_dists_normal_kurtosis( const double mu, const double sigma ) {
 	if (