diff --git a/lib/node_modules/@stdlib/math/base/ops/README.md b/lib/node_modules/@stdlib/math/base/ops/README.md
index 7419b22ce7a5..98221791208a 100644
--- a/lib/node_modules/@stdlib/math/base/ops/README.md
+++ b/lib/node_modules/@stdlib/math/base/ops/README.md
@@ -50,11 +50,9 @@ The namespace contains the following functions:
- [`cnegf( z )`][@stdlib/math/base/ops/cnegf]: negate a single-precision complex floating-point number.
- [`csub( z1, z2 )`][@stdlib/math/base/ops/csub]: subtract two double-precision complex floating-point numbers.
- [`csubf( z1, z2 )`][@stdlib/math/base/ops/csubf]: subtract two single-precision complex floating-point numbers.
-- [`div( x, y )`][@stdlib/number/float64/base/div]: divide two double-precision floating-point numbers.
- [`divf( x, y )`][@stdlib/math/base/ops/divf]: divide two single-precision floating-point numbers.
- [`imul( a, b )`][@stdlib/math/base/ops/imul]: perform C-like multiplication of two signed 32-bit integers.
- [`imuldw( a, b )`][@stdlib/math/base/ops/imuldw]: compute the double word product of two signed 32-bit integers.
-- [`mul( x, y )`][@stdlib/number/float64/base/mul]: multiply two double-precision floating-point numbers.
- [`mulf( x, y )`][@stdlib/math/base/ops/mulf]: multiply two single-precision floating-point numbers.
- [`sub( x, y )`][@stdlib/math/base/ops/sub]: subtract two double-precision floating-point numbers.
- [`subf( x, y )`][@stdlib/math/base/ops/subf]: subtract two single-precision floating-point numbers.
@@ -141,16 +139,12 @@ console.log( ns.imuldw( 0x80000000|0, 0x40000000|0 ) );
[@stdlib/math/base/ops/csubf]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/ops/csubf
-[@stdlib/number/float64/base/div]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/number/float64/base/div
-
[@stdlib/math/base/ops/divf]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/ops/divf
[@stdlib/math/base/ops/imul]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/ops/imul
[@stdlib/math/base/ops/imuldw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/ops/imuldw
-[@stdlib/number/float64/base/mul]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/number/float64/base/mul
-
[@stdlib/math/base/ops/mulf]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/ops/mulf
[@stdlib/math/base/ops/sub]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/ops/sub
diff --git a/lib/node_modules/@stdlib/stats/base/README.md b/lib/node_modules/@stdlib/stats/base/README.md
index 9bce5bd59cd8..bee96d7e93d7 100644
--- a/lib/node_modules/@stdlib/stats/base/README.md
+++ b/lib/node_modules/@stdlib/stats/base/README.md
@@ -68,18 +68,13 @@ The namespace contains the following statistical functions:
- [`dmeanstdevpn( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/base/dmeanstdevpn]: calculate the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.
- [`dmeanvar( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/base/dmeanvar]: calculate the mean and variance of a double-precision floating-point strided array.
- [`dmeanvarpn( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/base/dmeanvarpn]: calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.
-- [`dmeanwd( N, x, strideX )`][@stdlib/stats/strided/dmeanwd]: calculate the arithmetic mean of a double-precision floating-point strided array using Welford's algorithm.
-- [`dmediansorted( N, x, strideX )`][@stdlib/stats/strided/dmediansorted]: calculate the median value of a sorted double-precision floating-point strided array.
-- [`dmidrange( N, x, strideX )`][@stdlib/stats/strided/dmidrange]: calculate the mid-range of a double-precision floating-point strided array.
-- [`dmin( N, x, strideX )`][@stdlib/stats/strided/dmin]: calculate the minimum value of a double-precision floating-point strided array.
-- [`dminabs( N, x, strideX )`][@stdlib/stats/strided/dminabs]: calculate the minimum absolute value of a double-precision floating-point strided array.
- [`dminsorted( N, x, strideX )`][@stdlib/stats/base/dminsorted]: calculate the minimum value of a sorted double-precision floating-point strided array.
- [`dmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dmskmax]: calculate the maximum value of a double-precision floating-point strided array according to a mask.
- [`dmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dmskmin]: calculate the minimum value of a double-precision floating-point strided array according to a mask.
- [`dmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dmskrange]: calculate the range of a double-precision floating-point strided array according to a mask.
- [`dnanmax( N, x, strideX )`][@stdlib/stats/base/dnanmax]: calculate the maximum value of a double-precision floating-point strided array, ignoring `NaN` values.
- [`dnanmaxabs( N, x, strideX )`][@stdlib/stats/base/dnanmaxabs]: calculate the maximum absolute value of a double-precision floating-point strided array, ignoring `NaN` values.
-- [`dnanmean( N, x, stride )`][@stdlib/stats/base/dnanmean]: calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values.
+- [`dnanmean( N, x, strideX )`][@stdlib/stats/base/dnanmean]: calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values.
- [`dnanmeanors( N, x, strideX )`][@stdlib/stats/base/dnanmeanors]: calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation.
- [`dnanmeanpn( N, x, strideX )`][@stdlib/stats/base/dnanmeanpn]: calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using a two-pass error correction algorithm.
- [`dnanmeanpw( N, x, strideX )`][@stdlib/stats/base/dnanmeanpw]: calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using pairwise summation.
@@ -99,7 +94,7 @@ The namespace contains the following statistical functions:
- [`dnanvariance( N, correction, x, stride )`][@stdlib/stats/base/dnanvariance]: calculate the variance of a double-precision floating-point strided array ignoring `NaN` values.
- [`dnanvariancech( N, correction, x, stride )`][@stdlib/stats/base/dnanvariancech]: calculate the variance of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass trial mean algorithm.
- [`dnanvariancepn( N, correction, x, stride )`][@stdlib/stats/base/dnanvariancepn]: calculate the variance of a double-precision floating-point strided array ignoring `NaN` values and using a two-pass algorithm.
-- [`dnanvariancetk( N, correction, x, stride )`][@stdlib/stats/base/dnanvariancetk]: calculate the variance of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass textbook algorithm.
+- [`dnanvariancetk( N, correction, x, strideX )`][@stdlib/stats/base/dnanvariancetk]: calculate the variance of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass textbook algorithm.
- [`dnanvariancewd( N, correction, x, stride )`][@stdlib/stats/base/dnanvariancewd]: calculate the variance of a double-precision floating-point strided array ignoring `NaN` values and using Welford's algorithm.
- [`dnanvarianceyc( N, correction, x, stride )`][@stdlib/stats/base/dnanvarianceyc]: calculate the variance of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.
- [`drange( N, x, strideX )`][@stdlib/stats/base/drange]: calculate the range of a double-precision floating-point strided array.
@@ -333,16 +328,6 @@ console.log( objectKeys( ns ) );
[@stdlib/stats/base/dmeanvarpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmeanvarpn
-[@stdlib/stats/strided/dmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dmeanwd
-
-[@stdlib/stats/strided/dmediansorted]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dmediansorted
-
-[@stdlib/stats/strided/dmidrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dmidrange
-
-[@stdlib/stats/strided/dmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dmin
-
-[@stdlib/stats/strided/dminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dminabs
-
[@stdlib/stats/base/dminsorted]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dminsorted
[@stdlib/stats/base/dmskmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmskmax