diff --git a/lib/node_modules/@stdlib/stats/base/README.md b/lib/node_modules/@stdlib/stats/base/README.md
index 8bc987a23e2e..df6bba368d22 100644
--- a/lib/node_modules/@stdlib/stats/base/README.md
+++ b/lib/node_modules/@stdlib/stats/base/README.md
@@ -118,7 +118,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`dsemtk( N, correction, x, strideX )`][@stdlib/stats/base/dsemtk]</span><span class="delimiter">: </span><span class="description">calculate the standard error of the mean of a double-precision floating-point strided array using a one-pass textbook algorithm.</span>
 -   <span class="signature">[`dsemwd( N, correction, x, strideX )`][@stdlib/stats/base/dsemwd]</span><span class="delimiter">: </span><span class="description">calculate the standard error of the mean of a double-precision floating-point strided array using Welford's algorithm.</span>
 -   <span class="signature">[`dsemyc( N, correction, x, strideX )`][@stdlib/stats/base/dsemyc]</span><span class="delimiter">: </span><span class="description">calculate the standard error of the mean of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
--   <span class="signature">[`dsmean( N, x, stride )`][@stdlib/stats/base/dsmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.</span>
+-   <span class="signature">[`dsmean( N, x, strideX )`][@stdlib/stats/base/dsmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.</span>
 -   <span class="signature">[`dsmeanors( N, x, strideX )`][@stdlib/stats/base/dsmeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation and returning an extended precision result.</span>
 -   <span class="signature">[`dsmeanpn( N, x, strideX )`][@stdlib/stats/base/dsmeanpn]</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 with extended accumulation and returning an extended precision result.</span>
 -   <span class="signature">[`dsmeanpw( N, x, strideX )`][@stdlib/stats/base/dsmeanpw]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation with extended accumulation and returning an extended precision result.</span>
@@ -157,7 +157,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`meanwd( N, x, stride )`][@stdlib/stats/base/meanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using Welford's algorithm.</span>
 -   <span class="signature">[`mediansorted( N, x, stride )`][@stdlib/stats/base/mediansorted]</span><span class="delimiter">: </span><span class="description">calculate the median value of a sorted strided array.</span>
 -   <span class="signature">[`minBy( N, x, stride, clbk[, thisArg] )`][@stdlib/stats/base/min-by]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array via a callback function.</span>
--   <span class="signature">[`min( N, x, stride )`][@stdlib/stats/base/min]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array.</span>
+-   <span class="signature">[`min( N, x, strideX )`][@stdlib/stats/base/min]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array.</span>
 -   <span class="signature">[`minabs( N, x, stride )`][@stdlib/stats/base/minabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a strided array.</span>
 -   <span class="signature">[`minsorted( N, x, stride )`][@stdlib/stats/base/minsorted]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a sorted strided array.</span>
 -   <span class="signature">[`mskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/mskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a strided array according to a mask.</span>