diff --git a/lib/node_modules/@stdlib/stats/base/README.md b/lib/node_modules/@stdlib/stats/base/README.md
index 720fbeb6b43e..7a6e7a250333 100644
--- a/lib/node_modules/@stdlib/stats/base/README.md
+++ b/lib/node_modules/@stdlib/stats/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>