diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanvariance/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/dnanvariance/README.md
index 9ce2a62a3d31..f72999dadb92 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/dnanvariance/README.md
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanvariance/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@83842e5d8e291e26c95197daca1ad82c56fe1781/lib/node_modules/@stdlib/stats/base/ndarray/dnanvariance/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@83842e5d8e291e26c95197daca1ad82c56fe1781/lib/node_modules/@stdlib/stats/base/ndarray/dnanvariance/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@83842e5d8e291e26c95197daca1ad82c56fe1781/lib/node_modules/@stdlib/stats/base/ndarray/dnanvariance/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@7a5c49ad1110e3d36adadf13df15e155a66c4a0c/lib/node_modules/@stdlib/stats/base/ndarray/dnanvariance/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
 </div> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanvariance/docs/img/equation_corrected_sample_variance.svg b/lib/node_modules/@stdlib/stats/base/ndarray/dnanvariance/docs/img/equation_corrected_sample_variance.svg
new file mode 100644
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--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanvariance/docs/img/equation_corrected_sample_variance.svg
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+<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/base/ndarray/dnanvariance/docs/img/equation_population_mean.svg b/lib/node_modules/@stdlib/stats/base/ndarray/dnanvariance/docs/img/equation_population_mean.svg
new file mode 100644
index 000000000000..4bbdf0d2a56f
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanvariance/docs/img/equation_population_mean.svg
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diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanvariance/docs/img/equation_population_variance.svg b/lib/node_modules/@stdlib/stats/base/ndarray/dnanvariance/docs/img/equation_population_variance.svg
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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 3a615052efce..ff91c36e2e00 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/nanvariance/README.md
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/nanvariance/README.md
@@ -33,7 +33,7 @@ The population [variance][variance] of a finite size population of size `N` is g
 ```
 
 <!-- <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.">
+    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@671ec4bdbce6f50644ccb57ce5001a1c1356e0c1/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@ceda46d6346206adad223bb59c38db140c7a63a7/lib/node_modules/@stdlib/stats/base/ndarray/nanvariance/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
+    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@671ec4bdbce6f50644ccb57ce5001a1c1356e0c1/lib/node_modules/@stdlib/stats/base/ndarray/nanvariance/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
 </div> -->
 
@@ -63,7 +63,7 @@ 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@ceda46d6346206adad223bb59c38db140c7a63a7/lib/node_modules/@stdlib/stats/base/ndarray/nanvariance/docs/img/equation_corrected_sample_variance.svg" alt="Equation for computing a corrected sample variance.">
+    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@671ec4bdbce6f50644ccb57ce5001a1c1356e0c1/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> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancech/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancech/README.md
index 601351125513..4e3f0f0ae908 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancech/README.md
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancech/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@83842e5d8e291e26c95197daca1ad82c56fe1781/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancech/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@83842e5d8e291e26c95197daca1ad82c56fe1781/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancech/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@83842e5d8e291e26c95197daca1ad82c56fe1781/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancech/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@7336c9e41a2e3401eac4d71e8c649f53fa0dede6/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancech/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
 </div> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancech/docs/img/equation_corrected_sample_variance.svg b/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancech/docs/img/equation_corrected_sample_variance.svg
new file mode 100644
index 000000000000..1ae1283e7fb1
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancech/docs/img/equation_corrected_sample_variance.svg
@@ -0,0 +1,61 @@
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new file mode 100644
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diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancech/docs/img/equation_population_variance.svg b/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancech/docs/img/equation_population_variance.svg
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diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancepn/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancepn/README.md
index 4885eba4a04c..c68c2b36e0d6 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancepn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancepn/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@83842e5d8e291e26c95197daca1ad82c56fe1781/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancepn/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@83842e5d8e291e26c95197daca1ad82c56fe1781/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancepn/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@83842e5d8e291e26c95197daca1ad82c56fe1781/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancepn/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@d6d67bd2c6ee35de287d50fad4058371c291fd33/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancepn/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
 </div> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancepn/docs/img/equation_corrected_sample_variance.svg b/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancepn/docs/img/equation_corrected_sample_variance.svg
new file mode 100644
index 000000000000..1ae1283e7fb1
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+++ b/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancepn/docs/img/equation_corrected_sample_variance.svg
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+<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/base/ndarray/nanvariancepn/docs/img/equation_population_mean.svg b/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancepn/docs/img/equation_population_mean.svg
new file mode 100644
index 000000000000..4bbdf0d2a56f
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancepn/docs/img/equation_population_mean.svg
@@ -0,0 +1,42 @@
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diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancepn/docs/img/equation_population_variance.svg b/lib/node_modules/@stdlib/stats/base/ndarray/nanvariancepn/docs/img/equation_population_variance.svg
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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 0e141c5af92c..45705d5fb00e 100644
--- a/lib/node_modules/@stdlib/stats/incr/nanmpcorr2/README.md
+++ b/lib/node_modules/@stdlib/stats/incr/nanmpcorr2/README.md
@@ -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@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.">
+    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@671ec4bdbce6f50644ccb57ce5001a1c1356e0c1/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> -->