diff --git a/etc/npm/deps.txt b/etc/npm/deps.txt
index 3d996c0d7b04..f5db971ffee8 100644
--- a/etc/npm/deps.txt
+++ b/etc/npm/deps.txt
@@ -1 +1 @@
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diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/nanvariance/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/nanvariance/README.md
index f8a9081d4bf6..3a615052efce 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/nanvariance/README.md
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/nanvariance/README.md
@@ -32,8 +32,8 @@ The population [variance][variance] of a finite size population of size `N` is g
 \sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
 ```
 
-<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_variance">
-    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@08ca32895957967bd760a4fe02d61762432a0b72/lib/node_modules/@stdlib/stats/strided/variance/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@ceda46d6346206adad223bb59c38db140c7a63a7/lib/node_modules/@stdlib/stats/base/ndarray/nanvariance/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
 </div> -->
 
@@ -48,7 +48,7 @@ where the population mean is given by
 ```
 
 <!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
-    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@08ca32895957967bd760a4fe02d61762432a0b72/lib/node_modules/@stdlib/stats/strided/variance/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
+    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@ceda46d6346206adad223bb59c38db140c7a63a7/lib/node_modules/@stdlib/stats/base/ndarray/nanvariance/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
 </div> -->
 
@@ -62,8 +62,8 @@ Often in the analysis of data, the true population [variance][variance] is not k
 s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
 ```
 
-<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_variance">
-    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@08ca32895957967bd760a4fe02d61762432a0b72/lib/node_modules/@stdlib/stats/strided/variance/docs/img/equation_corrected_sample_variance.svg" alt="Equation for computing a corrected sample variance.">
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:corrected_sample_variance">
+    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@ceda46d6346206adad223bb59c38db140c7a63a7/lib/node_modules/@stdlib/stats/base/ndarray/nanvariance/docs/img/equation_corrected_sample_variance.svg" alt="Equation for computing a corrected sample variance.">
     <br>
 </div> -->
 
@@ -78,7 +78,7 @@ where the sample mean is given by
 ```
 
 <!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
-    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@08ca32895957967bd760a4fe02d61762432a0b72/lib/node_modules/@stdlib/stats/strided/variance/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
+    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@dd1fcb3504a46d9e3e568114c126df352d3d8b60/lib/node_modules/@stdlib/stats/base/ndarray/nanvariance/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
 </div> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/nanvariance/docs/img/equation_corrected_sample_variance.svg b/lib/node_modules/@stdlib/stats/base/ndarray/nanvariance/docs/img/equation_corrected_sample_variance.svg
new file mode 100644
index 000000000000..1ae1283e7fb1
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/nanvariance/docs/img/equation_corrected_sample_variance.svg
@@ -0,0 +1,61 @@
+<svg xmlns:xlink="http://www.w3.org/1999/xlink" width="24.382ex" height="7.343ex" style="vertical-align: -3.005ex;" viewBox="0 -1867.7 10497.7 3161.4" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" aria-labelledby="MathJax-SVG-1-Title">
+<title id="MathJax-SVG-1-Title">s squared equals StartFraction 1 Over n minus 1 EndFraction sigma-summation Underscript i equals 0 Overscript n minus 1 Endscripts left-parenthesis x Subscript i Baseline minus x overbar right-parenthesis squared</title>
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diff --git a/lib/node_modules/@stdlib/stats/incr/nanmpcorr2/README.md b/lib/node_modules/@stdlib/stats/incr/nanmpcorr2/README.md
index 93747084012e..0e141c5af92c 100644
--- a/lib/node_modules/@stdlib/stats/incr/nanmpcorr2/README.md
+++ b/lib/node_modules/@stdlib/stats/incr/nanmpcorr2/README.md
@@ -33,7 +33,7 @@ The [Pearson product-moment correlation coefficient][pearson-correlation] betwee
 ```
 
 <!-- <div class="equation" align="center" data-raw-text="\rho_{X,Y} = \frac{\operatorname{cov}(X,Y)}{\sigma_X \sigma_Y}" data-equation="eq:pearson_correlation_coefficient">
-    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e6bc812ab63010afd0f25418c0c6954c3a680357/lib/node_modules/@stdlib/stats/incr/mpcorr2/docs/img/equation_pearson_correlation_coefficient.svg" alt="Equation for the Pearson product-moment correlation coefficient.">
+    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@026b97a23151831dde2760747d887559a9b55472/lib/node_modules/@stdlib/stats/incr/nanmpcorr2/docs/img/equation_pearson_correlation_coefficient.svg" alt="Equation for the Pearson product-moment correlation coefficient.">
     <br>
 </div> -->
 
@@ -50,7 +50,7 @@ r = \frac{\displaystyle\sum_{i=0}^{n-1} (x_i - \bar{x})(y_i - \bar{y})}{\display
 ```
 
 <!-- <div class="equation" align="center" data-raw-text="r = \frac{\displaystyle\sum_{i=0}^{n-1} (x_i - \bar{x})(y_i - \bar{y})}{\displaystyle\sqrt{\sum_{i=0}^{n-1} (x_i - \bar{x})^2} \displaystyle\sqrt{\displaystyle\sum_{i=0}^{n-1} (y_i - \bar{y})^2}}" data-equation="eq:sample_pearson_correlation_coefficient">
-    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e6bc812ab63010afd0f25418c0c6954c3a680357/lib/node_modules/@stdlib/stats/incr/mpcorr2/docs/img/equation_sample_pearson_correlation_coefficient.svg" alt="Equation for the sample Pearson product-moment correlation coefficient.">
+    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@ceda46d6346206adad223bb59c38db140c7a63a7/lib/node_modules/@stdlib/stats/incr/nanmpcorr2/docs/img/equation_sample_pearson_correlation_coefficient.svg" alt="Equation for the sample Pearson product-moment correlation coefficient.">
     <br>
 </div> -->
 
diff --git a/lib/node_modules/@stdlib/stats/incr/nanmpcorr2/docs/img/equation_sample_pearson_correlation_coefficient.svg b/lib/node_modules/@stdlib/stats/incr/nanmpcorr2/docs/img/equation_sample_pearson_correlation_coefficient.svg
index 31facfed161b..ce89f3dcbc48 100644
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+++ b/lib/node_modules/@stdlib/stats/incr/nanmpcorr2/docs/img/equation_sample_pearson_correlation_coefficient.svg
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