chore: apply suggestions from code review

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

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/poisson/stdev/README.md

@@ -146,10 +146,10 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_poisson_stdev( lambda )
 
-Evaluates the standard deviation of a Poisson distribution.
+Returns the [standard deviation][standard-deviation] of a [Poisson][poisson-distribution] distribution with mean parameter `lambda`.
 
 ```c
-double out = sstdlib_base_dists_poisson_stdev( 9.0 );
+double out = stdlib_base_dists_poisson_stdev( 9.0 );
 // returns 3.0
 ```
 
@@ -197,7 +197,7 @@ int main( void ) {
     for ( i = 0; i < 10; i++ ) {
         lambda = random_uniform( 0.0, 10.0 );
         y = stdlib_base_dists_poisson_stdev( lambda );
-        printf( "\u03bb: %.4f, SD(X;\u03bb): %.4f\n", lambda, y );
+        printf( "λ: %.4f, SD(X;λ): %.4f\n", lambda, y );
     }
 }
 ```

lib/node_modules/@stdlib/stats/base/dists/poisson/stdev/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;
@@ -40,7 +40,7 @@ bench( pkg, function benchmark( b ) {
 	len = 100;
 	lambda = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		lambda[ i ] = ( randu() * 20.0 ) + EPS;
+		lambda[ i ] = uniform( EPS, 20.0 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/poisson/stdev/benchmark/benchmark.native.js

@@ -23,7 +23,7 @@
 var resolve = require( 'path' ).resolve;
 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 tryRequire = require( '@stdlib/utils/try-require' );
 var EPS = require( '@stdlib/constants/float64/eps' );
@@ -49,7 +49,7 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	len = 100;
 	lambda = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		lambda[ i ] = ( randu() * 20.0 ) + EPS;
+		lambda[ i ] = uniform( EPS, 20.0 );
 	}
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {

lib/node_modules/@stdlib/stats/base/dists/poisson/stdev/benchmark/c/benchmark.c

@@ -93,18 +93,18 @@ static double random_uniform( const double min, const double max ) {
 */
 static double benchmark( void ) {
 	double elapsed;
-    double lambda[100];
+    double lambda[ 100 ];
 	double y;
 	double t;
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		lambda[i] = random_uniform(0.0, 20.0);
+		lambda[i] = random_uniform( 0.0, 20.0 );
 	}
 
 	t = tic();
 	for ( i = 0; i < ITERATIONS; i++ ) {
-		 y = stdlib_base_dists_poisson_stdev(lambda[i%100]);
+		 y = stdlib_base_dists_poisson_stdev( lambda[ i % 100 ] );
 		if ( y != y ) {
 			printf( "should not return NaN\n" );
 			break;

lib/node_modules/@stdlib/stats/base/dists/poisson/stdev/examples/c/example.c

@@ -33,6 +33,6 @@ int main( void ) {
 	for ( i = 0; i < 10; i++ ) {
 		lambda = random_uniform( 0.0, 20.0 );
 		y = stdlib_base_dists_poisson_stdev( lambda );
-		printf( "\u03bb: %.4f, SD(X;\u03bb): %.4f\n", lambda, y );
+		printf( "λ: %.4f, SD(X;λ): %.4f\n", lambda, y );
 	}
 }

lib/node_modules/@stdlib/stats/base/dists/poisson/stdev/include/stdlib/stats/base/dists/poisson/stdev.h

@@ -27,7 +27,7 @@ extern "C" {
 #endif
 
 /**
-* Evaluates the standard deviation of a Poisson distribution with parameter `lambda`.
+* Returns the standard deviation of a Poisson distribution with parameter `lambda`.
 */
 double stdlib_base_dists_poisson_stdev( const double lambda );
 

lib/node_modules/@stdlib/stats/base/dists/poisson/stdev/lib/native.js

@@ -26,7 +26,7 @@ var addon = require( './../src/addon.node' );
 // MAIN //
 
 /**
-* Evaluates the standard deviation of a Poisson distribution.
+* Returns the standard deviation of a Poisson distribution with parameter `lambda`.
 *
 * @private
 * @param {NonNegativeNumber} lambda - mean parameter

lib/node_modules/@stdlib/stats/base/dists/poisson/stdev/src/main.c

@@ -23,24 +23,12 @@
 /**
 * Returns the standard deviation of a Poisson distribution with parameter `lambda`.
 *
-* @param lambda  mean parameter of the distribution
-* @return        standard deviation of the Poisson distribution
+* @param lambda  mean parameter
+* @return        standard deviation
 *
 * @example
 * double y = stdlib_base_dists_poisson_stdev( 9.0 );
 * // returns 3.0
-*
-* @example
-* double y = stdlib_base_dists_poisson_stdev( 1.0 );
-* // returns 1.0
-*
-* @example
-* double y = stdlib_base_dists_poisson_stdev( -0.2 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_poisson_stdev( NAN );
-* // returns NaN
 */
 double stdlib_base_dists_poisson_stdev( const double lambda ) {
 	if (