docs: update namespace table of contents

PR-URL: #7330
Reviewed-by: Athan Reines <[email protected]>

Author: stdlib-bot

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

@@ -67,8 +67,6 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`dmeanvarpn( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/base/dmeanvarpn]</span><span class="delimiter">: </span><span class="description">calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.</span>
 -   <span class="signature">[`dvarm( N, mean, correction, x, stride )`][@stdlib/stats/base/dvarm]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array provided a known mean.</span>
 -   <span class="signature">[`dvarmpn( N, mean, correction, x, stride )`][@stdlib/stats/base/dvarmpn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array provided a known mean and using Neely's correction algorithm.</span>
--   <span class="signature">[`meankbn( N, x, stride )`][@stdlib/stats/strided/meankbn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using an improved Kahan–Babuška algorithm.</span>
--   <span class="signature">[`meankbn2( N, x, stride )`][@stdlib/stats/strided/meankbn2]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using a second-order iterative Kahan–Babuška algorithm.</span>
 -   <span class="signature">[`meanors( N, x, stride )`][@stdlib/stats/base/meanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using ordinary recursive summation.</span>
 -   <span class="signature">[`meanpn( N, x, strideX )`][@stdlib/stats/base/meanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using a two-pass error correction algorithm.</span>
 -   <span class="signature">[`meanpw( N, x, stride )`][@stdlib/stats/base/meanpw]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using pairwise summation.</span>
@@ -201,10 +199,6 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/base/dvarmpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dvarmpn
 
-[@stdlib/stats/strided/meankbn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/meankbn
-
-[@stdlib/stats/strided/meankbn2]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/meankbn2
-
 [@stdlib/stats/base/meanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/meanors
 
 [@stdlib/stats/base/meanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/meanpn