docs: update namespace table of contents

PR-URL: #6089
Reviewed-by: Athan Reines <[email protected]>

Author: stdlib-bot

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

@@ -192,7 +192,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`smeanlipw( N, x, stride )`][@stdlib/stats/base/smeanlipw]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.</span>
 -   <span class="signature">[`smeanors( N, x, stride )`][@stdlib/stats/base/smeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation.</span>
 -   <span class="signature">[`smeanpn( N, x, stride )`][@stdlib/stats/base/smeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.</span>
--   <span class="signature">[`smeanpw( N, x, stride )`][@stdlib/stats/base/smeanpw]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation.</span>
+-   <span class="signature">[`smeanpw( N, x, strideX )`][@stdlib/stats/base/smeanpw]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation.</span>
 -   <span class="signature">[`smeanwd( N, x, strideX )`][@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>
 -   <span class="signature">[`smediansorted( N, x, strideX )`][@stdlib/stats/base/smediansorted]</span><span class="delimiter">: </span><span class="description">calculate the median value of a sorted single-precision floating-point strided array.</span>
 -   <span class="signature">[`smidrange( N, x, strideX )`][@stdlib/stats/base/smidrange]</span><span class="delimiter">: </span><span class="description">calculate the mid-range of a single-precision floating-point strided array.</span>
@@ -229,7 +229,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`srange( N, x, strideX )`][@stdlib/stats/base/srange]</span><span class="delimiter">: </span><span class="description">calculate the range of a single-precision floating-point strided array.</span>
 -   <span class="signature">[`sstdev( N, correction, x, stride )`][@stdlib/stats/base/sstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array.</span>
 -   <span class="signature">[`sstdevch( N, correction, x, strideX )`][@stdlib/stats/base/sstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.</span>
--   <span class="signature">[`sstdevpn( N, correction, x, stride )`][@stdlib/stats/base/sstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.</span>
+-   <span class="signature">[`sstdevpn( N, correction, x, strideX )`][@stdlib/stats/base/sstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.</span>
 -   <span class="signature">[`sstdevtk( N, correction, x, strideX )`][@stdlib/stats/base/sstdevtk]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass textbook algorithm.</span>
 -   <span class="signature">[`sstdevwd( N, correction, x, stride )`][@stdlib/stats/base/sstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using Welford's algorithm.</span>
 -   <span class="signature">[`sstdevyc( N, correction, x, strideX )`][@stdlib/stats/base/sstdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>