chore: address review findings in new stats/incr/nan* packages

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

@@ -33,7 +33,7 @@ An [exponentially weighted mean][moving-average] can be defined recursively as
 ```
 
 <!-- <div class="equation" align="center" data-raw-text="\mu_t = \begin{cases} x_0 &amp; \textrm{if}\ t = 0 \\ \alpha x_t + (1-\alpha) \mu_{t-1} &amp; \textrm{if}\ t &gt; 0 \end{cases}" data-equation="eq:exponentially_weighted_mean">
-    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@1445ad5c454bc3c1a86bde2be87d6cec87781174/lib/node_modules/@stdlib/stats/incr/ewmean/docs/img/equation_exponentially_weighted_mean.svg" alt="Recursive definition for computing an exponentially weighted mean.">
+    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@1445ad5c454bc3c1a86bde2be87d6cec87781174/lib/node_modules/@stdlib/stats/incr/nanewmean/docs/img/equation_exponentially_weighted_mean.svg" alt="Recursive definition for computing an exponentially weighted mean.">
     <br>
 </div> -->
 

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

@@ -33,7 +33,7 @@ For a window of size `W`, the [mean directional accuracy][mean-directional-accur
 ```
 
 <!-- <div class="equation" align="center" data-raw-text="\operatorname{MDA} = \begin{cases} 1 & \textrm{if}\ W = 1 \\\frac{1}{W} \sum_{i=1}^{W} \delta_{\operatorname{sgn}(\Delta f_{i,i-1}),\ \operatorname{sgn}(\Delta a_{i,i-1})} & \textrm{if}\ W > 1 \end{cases}" data-equation="eq:mean_directional_accuracy">
-    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@99730afbace8256ce53cfbc0714c7f3cac92466a/lib/node_modules/@stdlib/stats/incr/mmda/docs/img/equation_mean_directional_accuracy.svg" alt="Equation for the mean directional accuracy.">
+    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@99730afbace8256ce53cfbc0714c7f3cac92466a/lib/node_modules/@stdlib/stats/incr/nanmmda/docs/img/equation_mean_directional_accuracy.svg" alt="Equation for the mean directional accuracy.">
     <br>
 </div> -->
 

lib/node_modules/@stdlib/stats/incr/nanmmda/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@stdlib/stats/incr/nanmmda",
   "version": "0.0.0",
-  "description": "Compute a moving mean directional accuracy (MDA) incrementally, ignoring `NaN` values.",
+  "description": "Compute a moving mean directional accuracy (MDA) incrementally, ignoring NaN values.",
   "license": "Apache-2.0",
   "author": {
     "name": "The Stdlib Authors",

lib/node_modules/@stdlib/stats/incr/nanmmpe/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@stdlib/stats/incr/nanmmpe",
   "version": "0.0.0",
-  "description": "Compute a moving mean percentage error (MPE) incrementally, ignoring `NaN` values.",
+  "description": "Compute a moving mean percentage error (MPE) incrementally, ignoring NaN values.",
   "license": "Apache-2.0",
   "author": {
     "name": "The Stdlib Authors",

lib/node_modules/@stdlib/stats/incr/nanmpcorr2/lib/main.js

@@ -72,7 +72,7 @@ var incrmpcorr2 = require( '@stdlib/stats/incr/mpcorr2' );
 */
 function incrnanmpcorr2( W, meanx, meany ) {
 	var acc;
-	if ( arguments.length > 2 ) {
+	if ( arguments.length > 1 ) {
 		acc = incrmpcorr2( W, meanx, meany );
 	} else {
 		acc = incrmpcorr2( W );

lib/node_modules/@stdlib/stats/incr/nanmpcorrdist/lib/main.js

@@ -66,7 +66,7 @@ var incrmpcorrdist = require( '@stdlib/stats/incr/mpcorrdist' );
 */
 function incrnanmpcorrdist( W, mx, my ) {
 	var d;
-	if ( arguments.length > 2 ) {
+	if ( arguments.length > 1 ) {
 		d = incrmpcorrdist( W, mx, my );
 	} else {
 		d = incrmpcorrdist( W );