refactor random number generation

---
type: pre_push_report
description: Results of running various checks prior to pushing changes.
report:
  - task: run_javascript_examples
    status: na
  - task: run_c_examples
    status: na
  - task: run_cpp_examples
    status: na
  - task: run_javascript_readme_examples
    status: na
  - task: run_c_benchmarks
    status: na
  - task: run_cpp_benchmarks
    status: na
  - task: run_fortran_benchmarks
    status: na
  - task: run_javascript_benchmarks
    status: na
  - task: run_julia_benchmarks
    status: na
  - task: run_python_benchmarks
    status: na
  - task: run_r_benchmarks
    status: na
  - task: run_javascript_tests
    status: na
---

Author: yuvi-mittal

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

@@ -148,7 +148,7 @@ for ( i = 0; i < lambda.length; i++ ) {
 
 #### stdlib_base_dists_planck_kurtosis( lambda)
 
-Evaluates the kurtosis for a Planck distribution with shape parameter `lambda`.
+Evaluates the excess kurtosis for a Planck distribution with shape parameter `lambda`.
 
 ```c
 double out = stdlib_base_dists_planck_kurtosis( 0.1 );
@@ -194,14 +194,11 @@ int main( void ) {
     double lambda;
     double y;
     int i;
-
     for ( i = 0; i < 25; i++ ) {
         lambda = random_uniform( 0.1, 10.0 );
         y = stdlib_base_dists_planck_kurtosis( lambda );
         printf( "λ: %lf, Kurt(X;λ): %lf\n", lambda, y );
     }
-
-    return 0;
 }
 ```
 

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

@@ -21,8 +21,8 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
 var uniform = require( '@stdlib/random/base/uniform' );
+var Float64Array = require( '@stdlib/array/float64' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pkg = require( './../package.json' ).name;
 var kurtosis = require( './../lib' );
@@ -39,7 +39,7 @@ bench( pkg, function benchmark( b ) {
 	len= 100;
 	lambda = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		lambda[ i ] = uniform( 1.0, 10.0 );
+		lambda[i] = uniform( 1.0, 10.0 );
 	}
 
 	b.tic();

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

@@ -47,7 +47,6 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 
 	len= 100;
 	lambda = new Float64Array( len );
-
 	for ( i = 0; i < len; i++ ) {
 		lambda[ i ] = uniform( 1.0, 10.0 );
 	}

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

@@ -27,7 +27,7 @@ extern "C" {
 #endif
 
 /**
-* Evaluates the excess kurtosis for a Planck distribution with shape parameter `lambda`.
+* Evaluates the excess kurtosis for an planck distribution with shape parameter lambda (λ).
 */
 double stdlib_base_dists_planck_kurtosis( const double lambda );