chore: apply suggestions from code review

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

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/logistic/quantile/README.md

@@ -221,11 +221,11 @@ int main( void ) {
     double y;
     int i;
     for ( i = 0; i < 25; i++ ) {
-        mu = random_uniform( 0.0, 1.0 );
-        mu = random_uniform( 0.0, 10.0 ) - 5.0;
+        p = random_uniform( 0.0, 1.0 );
+        mu = random_uniform( -5.0, 5.0 );
         s = random_uniform( 0.0, 20.0 );
         y = stdlib_base_dists_logistic_quantile( p, mu, s );
-        printf( "p:: %lf, µ:: %lf, s: %lf, quantile(X;p,µ,s): %lf\n", p, mu, s, y );
+        printf( "p:: %lf, µ:: %lf, s: %lf, Q(p;µ,s): %lf\n", p, mu, s, y );
     }
 }
 ```

lib/node_modules/@stdlib/stats/base/dists/logistic/quantile/src/main.c

@@ -20,47 +20,17 @@
 #include "stdlib/math/base/assert/is_nan.h"
 #include "stdlib/math/base/special/ln.h"
 
-
 /**
 * Evaluates the quantile function for a logistic distribution with location parameter `mu` and scale parameter `s` at a probability `p`.
 *
-* @param {Probability} p - input value
-* @param {number} mu - location parameter
-* @param {NonNegativeNumber} s - scale parameter
-* @returns {number} evaluated quantile function
+* @param p    input value
+* @param mu   location parameter
+* @param s    scale parameter
+* @return     evaluated quantile function
 *
 * @example
 * double y = stdlib_base_dists_logistic_quantile( 0.8, 0.0, 1.0 );
 * // returns ~1.386
-*
-* @example
-* double y = stdlib_base_dists_logistic_quantile( 0.5, 4.0, 2.0 );
-* // returns 4.0
-*
-* @example
-* double y = stdlib_base_dists_logistic_quantile( 1.1, 0.0, 1.0 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_logistic_quantile( -0.2, 0.0, 1.0 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_logistic_quantile( NaN, 0.0, 1.0 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_logistic_quantile( 0.0, NaN, 1.0 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_logistic_quantile( 0.0, 0.0, NaN );
-* // returns NaN
-*
-* @example
-* // Negative scale parameter:
-* double y = stdlib_base_dists_logistic_quantile( 0.5, 0.0, -1.0 );
-* // returns NaN
 */
 double stdlib_base_dists_logistic_quantile( const double p, const double mu, const double s ) {
 	if (