diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dvariancewd/lib/native.js b/lib/node_modules/@stdlib/stats/base/ndarray/dvariancewd/lib/native.js
index 7a4644b394fc..b756c652c685 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/dvariancewd/lib/native.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dvariancewd/lib/native.js
@@ -28,7 +28,7 @@ var addon = require( './../src/addon.node' );
 // MAIN //
 
 /**
-* Computes the variance of a one-dimensional double-precision floating-point ndarray using a Welford's algorithm.
+* Computes the variance of a one-dimensional double-precision floating-point ndarray using Welford's algorithm.
 *
 * ## Notes
 *
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabs/lib/main.js b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabs/lib/main.js
index daa8b82b9cbc..ffa65445c9d3 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabs/lib/main.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabs/lib/main.js
@@ -39,7 +39,7 @@ var strided = require( '@stdlib/stats/strided/smaxabs' ).ndarray;
 *     -   a one-dimensional input ndarray.
 *
 * @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
-* @returns {number} maximum value
+* @returns {number} maximum absolute value
 *
 * @example
 * var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/main.js b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/main.js
index 5c6d2f7ce21f..c4e526f6bf1c 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/main.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/main.js
@@ -39,7 +39,7 @@ var strided = require( '@stdlib/stats/strided/smaxabssorted' ).ndarray;
 *     -   a one-dimensional input ndarray.
 *
 * @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
-* @returns {number} maximum value
+* @returns {number} maximum absolute value
 *
 * @example
 * var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smeanlipw/lib/native.js b/lib/node_modules/@stdlib/stats/base/ndarray/smeanlipw/lib/native.js
index 3d90e725160e..d9b7b8be9970 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/smeanlipw/lib/native.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smeanlipw/lib/native.js
@@ -28,7 +28,7 @@ var addon = require( './../src/addon.node' );
 // MAIN //
 
 /**
-* Computes the arithmetic mean of a one-dimensional single-precision floating-point ndarray.
+* Computes the arithmetic mean of a one-dimensional single-precision floating-point ndarray using a one-pass trial mean algorithm with pairwise summation.
 *
 * ## Notes
 *
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/sminabs/lib/main.js b/lib/node_modules/@stdlib/stats/base/ndarray/sminabs/lib/main.js
index 52a93b299eb8..a808c13b4997 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/sminabs/lib/main.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/sminabs/lib/main.js
@@ -39,7 +39,7 @@ var strided = require( '@stdlib/stats/strided/sminabs' ).ndarray;
 *     -   a one-dimensional input ndarray.
 *
 * @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
-* @returns {number} minimum value
+* @returns {number} minimum absolute value
 *
 * @example
 * var Float32Vector = require( '@stdlib/ndarray/vector/float32' );