docs: update namespace table of contents

PR-URL: #5279
Reviewed-by: Athan Reines <kgryte@gmail.com>

Author: stdlib-bot

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

@@ -62,10 +62,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`cumin( N, x, strideX, y, strideY )`][@stdlib/stats/base/cumin]</span><span class="delimiter">: </span><span class="description">calculate the cumulative minimum of a strided array.</span>
 -   <span class="signature">[`cuminabs( N, x, strideX, y, strideY )`][@stdlib/stats/base/cuminabs]</span><span class="delimiter">: </span><span class="description">calculate the cumulative minimum absolute value of a strided array.</span>
 -   <span class="signature">[`dcumin( N, x, strideX, y, strideY )`][@stdlib/stats/base/dcumin]</span><span class="delimiter">: </span><span class="description">calculate the cumulative minimum of double-precision floating-point strided array elements.</span>
--   <span class="signature">[`dmaxabssorted( N, x, strideX )`][@stdlib/stats/strided/dmaxabssorted]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a sorted double-precision floating-point strided array.</span>
--   <span class="signature">[`dmaxsorted( N, x, strideX )`][@stdlib/stats/strided/dmaxsorted]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a sorted double-precision floating-point strided array.</span>
 -   <span class="signature">[`dmean( N, x, stride )`][@stdlib/stats/base/dmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array.</span>
--   <span class="signature">[`dmeankbn( N, x, strideX )`][@stdlib/stats/strided/dmeankbn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using an improved Kahan–Babuška algorithm.</span>
 -   <span class="signature">[`dmeankbn2( N, x, strideX )`][@stdlib/stats/base/dmeankbn2]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using a second-order iterative Kahan–Babuška algorithm.</span>
 -   <span class="signature">[`dmeanli( N, x, strideX )`][@stdlib/stats/base/dmeanli]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm.</span>
 -   <span class="signature">[`dmeanlipw( N, x, strideX )`][@stdlib/stats/base/dmeanlipw]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.</span>
@@ -329,14 +326,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/base/dcumin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dcumin
 
-[@stdlib/stats/strided/dmaxabssorted]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dmaxabssorted
-
-[@stdlib/stats/strided/dmaxsorted]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dmaxsorted
-
 [@stdlib/stats/base/dmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmean
 
-[@stdlib/stats/strided/dmeankbn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dmeankbn
-
 [@stdlib/stats/base/dmeankbn2]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmeankbn2
 
 [@stdlib/stats/base/dmeanli]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmeanli