chore: apply suggestions from code review

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

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/pareto-type1/variance/README.md

@@ -182,7 +182,7 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_pareto_type1_variance( alpha, beta )
 
-Returns the variance of a Pareto (Type I) distribution.
+Returns the [variance][variance] of a [Pareto (Type I)][pareto-distribution] distribution with parameters `alpha` (shape parameter) and `beta` (scale parameter).
 
 ```c
 double out = stdlib_base_dists_pareto_type1_variance( 4.0, 12.0 );
@@ -196,7 +196,6 @@ The function accepts the following arguments:
 
 ```c
 double stdlib_base_dists_pareto_type1_variance( const double alpha, const double beta );
-
 ```
 
 </section>

lib/node_modules/@stdlib/stats/base/dists/pareto-type1/variance/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 EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
@@ -51,8 +51,8 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	alpha = new Float64Array( len );
 	beta = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		alpha[ i ] = ( randu() * 10.0 ) + EPS;
-		beta[ i ] = ( randu() * 10.0 ) + EPS;
+		alpha[ i ] = uniform( EPS, 10.0 );
+		beta[ i ] = uniform( EPS, 10.0 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/pareto-type1/variance/benchmark/c/benchmark.c

@@ -100,8 +100,8 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		alpha[ i ] = random_uniform( 0.0, 10.0 );
-		beta[ i ] = random_uniform( 0.0, 10.0 );
+		alpha[ i ] = random_uniform( 0.1, 10.0 );
+		beta[ i ] = random_uniform( 0.1, 10.0 );
 	}
 
 	t = tic();