chore: apply suggestions from code review

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

Author: Planeshifter

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

@@ -172,7 +172,7 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_weibull_kurtosis( k, lambda )
 
-Returns the excess kurtosis of a Weibull distribution.
+Returns the [excess kurtosis][kurtosis] of a [Weibull][weibull-distribution] distribution with shape parameter `k` and scale parameter `lambda`.
 
 ```c
 double out = stdlib_base_dists_weibull_kurtosis( 4.0, 12.0 );

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

@@ -24,7 +24,7 @@ var resolve = require( 'path' ).resolve;
 var tryRequire = require( '@stdlib/utils/try-require' );
 var Float64Array = require( '@stdlib/array/float64' );
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pkg = require( './../package.json' ).name;
 
@@ -50,8 +50,8 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	k = new Float64Array( len );
 	lambda = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		k[ i ] = ( randu() * 10.0 ) + 1.0;
-		lambda[ i ] = ( randu() * 10.0 ) + 1.0;
+		k[ i ] = uniform( 1.0, 10.0 );
+		lambda[ i ] = uniform( 1.0, 10.0 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/weibull/kurtosis/benchmark/c/benchmark.c

@@ -100,8 +100,8 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		k[ i ] = random_uniform( 0.0, 10.0 ) + 1.0;
-		lambda[ i ] = random_uniform( 0.0, 10.0 ) + 1.0;
+		k[ i ] = random_uniform( 1.0, 10.0 );
+		lambda[ i ] = random_uniform( 1.0, 10.0 );
 	}
 
 	t = tic();