refactor: update paths

Ref: #4797

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description: Results of running static analysis checks when committing changes.
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---

Author: aayush0325

lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/d.js

@@ -1738,7 +1738,7 @@ ns.push({
 	'related': [
 		'@stdlib/stats/strided/dmeanwd',
 		'@stdlib/stats/strided/dsmean',
-		'@stdlib/stats/base/dsnanmeanwd',
+		'@stdlib/stats/strided/dsnanmeanwd',
 		'@stdlib/stats/base/meanwd',
 		'@stdlib/stats/base/smeanwd'
 	]
@@ -1790,8 +1790,8 @@ ns.push({
 
 ns.push({
 	'alias': 'base.strided.dsnanmeanwd',
-	'path': '@stdlib/stats/base/dsnanmeanwd',
-	'value': require( '@stdlib/stats/base/dsnanmeanwd' ),
+	'path': '@stdlib/stats/strided/dsnanmeanwd',
+	'value': require( '@stdlib/stats/strided/dsnanmeanwd' ),
 	'type': 'Function',
 	'related': [
 		'@stdlib/stats/strided/dnanmeanwd',

lib/node_modules/@stdlib/stats/base/README.md

@@ -105,7 +105,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`dsnanmean( N, x, strideX )`][@stdlib/stats/strided/dsnanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values, using extended accumulation, and returning an extended precision result.</span>
 -   <span class="signature">[`dsnanmeanors( N, x, strideX )`][@stdlib/stats/strided/dsnanmeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.</span>
 -   <span class="signature">[`dsnanmeanpn( N, x, strideX )`][@stdlib/stats/strided/dsnanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values, using a two-pass error correction algorithm with extended accumulation, and returning an extended precision result.</span>
--   <span class="signature">[`dsnanmeanwd( N, x, strideX )`][@stdlib/stats/base/dsnanmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values, using Welford's algorithm with extended accumulation, and returning an extended precision result.</span>
+-   <span class="signature">[`dsnanmeanwd( N, x, strideX )`][@stdlib/stats/strided/dsnanmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values, using Welford's algorithm with extended accumulation, and returning an extended precision result.</span>
 -   <span class="signature">[`dstdev( N, correction, x, stride )`][@stdlib/stats/base/dstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array.</span>
 -   <span class="signature">[`dstdevch( N, correction, x, strideX )`][@stdlib/stats/base/dstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using a one-pass trial mean algorithm.</span>
 -   <span class="signature">[`dstdevpn( N, correction, x, strideX )`][@stdlib/stats/base/dstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using a two-pass algorithm.</span>
@@ -395,7 +395,7 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/strided/dsnanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dsnanmeanpn
 
-[@stdlib/stats/base/dsnanmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dsnanmeanwd
+[@stdlib/stats/strided/dsnanmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dsnanmeanwd
 
 [@stdlib/stats/base/dstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dstdev
 

lib/node_modules/@stdlib/stats/strided/dsmeanwd/README.md

@@ -301,7 +301,7 @@ int main( void ) {
 
 -   <span class="package-name">[`@stdlib/stats/strided/dmeanwd`][@stdlib/stats/strided/dmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using Welford's algorithm.</span>
 -   <span class="package-name">[`@stdlib/stats/strided/dsmean`][@stdlib/stats/strided/dsmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.</span>
--   <span class="package-name">[`@stdlib/stats/base/dsnanmeanwd`][@stdlib/stats/base/dsnanmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using Welford's algorithm with extended accumulation, and returning an extended precision result.</span>
+-   <span class="package-name">[`@stdlib/stats/strided/dsnanmeanwd`][@stdlib/stats/strided/dsnanmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using Welford's algorithm with extended accumulation, and returning an extended precision result.</span>
 -   <span class="package-name">[`@stdlib/stats/base/meanwd`][@stdlib/stats/base/meanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using Welford's algorithm.</span>
 -   <span class="package-name">[`@stdlib/stats/base/smeanwd`][@stdlib/stats/base/smeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.</span>
 
@@ -329,7 +329,7 @@ int main( void ) {
 
 [@stdlib/stats/strided/dsmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dsmean
 
-[@stdlib/stats/base/dsnanmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dsnanmeanwd
+[@stdlib/stats/strided/dsnanmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dsnanmeanwd
 
 [@stdlib/stats/base/meanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/meanwd