chore: apply suggestions from code review

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

Author: Planeshifter

lib/node_modules/@stdlib/stats/incr/nanmstdev/README.md

@@ -154,16 +154,6 @@ console.log( accumulator() );
 
 <section class="related">
 
-* * *
-
-## See Also
-
--   <span class="package-name">[`@stdlib/stats/incr/mstdev`][@stdlib/stats/incr/mstdev]</span><span class="delimiter">: </span><span class="description">compute a moving corrected sample standard deviation incrementally.</span>
--   <span class="package-name">[`@stdlib/stats/incr/mmean`][@stdlib/stats/incr/mmean]</span><span class="delimiter">: </span><span class="description">compute a moving arietic mean incrementally, iging NaN values.</span>
--   <span class="package-name">[`@stdlib/stats/incr/msummary`][@stdlib/stats/incr/msummary]</span><span class="delimiter">: </span><span class="description">compute a moving statistical summary incrementally, ignoring NaN values.</span>
--   <span class="package-name">[`@stdlib/stats/incr/mvariance`][@stdlib/stats/incr/mvariance]</span><span class="delimiter">: </span><span class="description">compute a moving unbiased sample variance incrementally, ignoring NaN values.</span>
--   <span class="package-name">[`@stdlib/stats/incr/stdev`][@stdlib/stats/incr/stdev]</span><span class="delimiter">: </span><span class="description">compute a corrected sample standard deviation incrementally, ignoring NaN values.</span>
-
 </section>
 
 <!-- /.related -->

lib/node_modules/@stdlib/stats/incr/nanmstdev/docs/repl.txt

@@ -1,5 +1,5 @@
-{{alias}}( W[, mean] )
 
+{{alias}}( W[, mean] )
     Returns an accumulator function which incrementally computes a moving
     corrected sample standard deviation, ignoring NaN values.
 

lib/node_modules/@stdlib/stats/incr/nanmstdev/examples/index.js

@@ -32,7 +32,11 @@ accumulator = incrnanmstdev( 5 );
 // For each simulated datum, update the moving t-student standard deviation...
 console.log( '\nValue\tT-Student Stdev\n' );
 for ( i = 0; i < 100; i++ ) {
-	v = ( randu() > 0.2 ) ? NaN : randu() * 100.0;
+	if ( randu() < 0.2 ) {
+		v = NaN;
+	} else {
+		v = randu() * 100.0;
+	}
 	s = accumulator( v );
 	console.log( '%d\t%d', v.toFixed( 4 ), (s === null) ? NaN : s.toFixed( 4 ) );
 }