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Author: stdlib-bot

CHANGELOG.md

@@ -39014,6 +39014,7 @@ A total of 53 people contributed to this release. Thank you to the following con
 
 <details>
 
+-   [`da47c6e`](https://github.com/stdlib-js/stdlib/commit/da47c6e32c09d08ec756611358c057bd41cd71ff) - **docs:** update namespace table of contents [(#6526)](https://github.com/stdlib-js/stdlib/pull/6526) _(by stdlib-bot)_
 -   [`912e9e1`](https://github.com/stdlib-js/stdlib/commit/912e9e12ee52689d4680230cca7da8d1464a08e0) - **feat:** add `stats/base/dists/kumaraswamy/kurtosis` [(#4525)](https://github.com/stdlib-js/stdlib/pull/4525) _(by Shabareesh Shetty, Philipp Burckhardt, stdlib-bot)_
 -   [`8523abf`](https://github.com/stdlib-js/stdlib/commit/8523abfa3aa131b1acce67658c71505b226473c2) - **feat:** add C implementation for `stats/base/dists/t/pdf` [(#3940)](https://github.com/stdlib-js/stdlib/pull/3940) _(by Aadish Jain, Philipp Burckhardt, stdlib-bot)_
 -   [`2529fff`](https://github.com/stdlib-js/stdlib/commit/2529fff8d35f0e63fb8bb7ae7f1cfc94aa697e32) - **feat:** add C implementation for `stats/base/dists/cosine/variance` [(#3983)](https://github.com/stdlib-js/stdlib/pull/3983) _(by Aayush Khanna, Philipp Burckhardt, stdlib-bot)_

base/README.md

@@ -120,7 +120,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`nanvariancech( N, correction, x, stride )`][@stdlib/stats/base/nanvariancech]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring `NaN` values and using a one-pass trial mean algorithm.</span>
 -   <span class="signature">[`nanvariancepn( N, correction, x, stride )`][@stdlib/stats/base/nanvariancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring `NaN` values and using a two-pass algorithm.</span>
 -   <span class="signature">[`nanvariancetk( N, correction, x, stride )`][@stdlib/stats/base/nanvariancetk]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring `NaN` values and using a one-pass textbook algorithm.</span>
--   <span class="signature">[`nanvariancewd( N, correction, x, stride )`][@stdlib/stats/base/nanvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring `NaN` values and using Welford's algorithm.</span>
+-   <span class="signature">[`nanvariancewd( N, correction, x, strideX )`][@stdlib/stats/base/nanvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring `NaN` values and using Welford's algorithm.</span>
 -   <span class="signature">[`nanvarianceyc( N, correction, x, strideX )`][@stdlib/stats/base/nanvarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.</span>
 -   <span class="signature">[`rangeBy( N, x, stride, clbk[, thisArg] )`][@stdlib/stats/base/range-by]</span><span class="delimiter">: </span><span class="description">calculate the range of a strided array via a callback function.</span>
 -   <span class="signature">[`range( N, x, stride )`][@stdlib/stats/base/range]</span><span class="delimiter">: </span><span class="description">calculate the range of a strided array.</span>