chore: make documentation in entire package consistent

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown
    status: passed
  - task: lint_package_json
    status: passed
  - task: lint_repl_help
    status: passed
  - task: lint_javascript_src
    status: passed
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: na
  - task: lint_javascript_benchmarks
    status: na
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: missing_dependencies
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: passed
  - task: lint_typescript_tests
    status: passed
  - task: lint_license_headers
    status: passed
---

Author: Witty-31-06

lib/node_modules/@stdlib/stats/strided/dnanmeankbn2/README.md

@@ -20,7 +20,7 @@ limitations under the License.
 
 # dnanmeankbn2
 
-> Calculate the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array ignoring the `NaN` values using a second-order iterative Kahan–Babuška algorithm.
+> Calculate the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array, ignoring `NaN` values using a second-order iterative Kahan–Babuška algorithm.
 
 <section class="intro">
 
@@ -53,7 +53,7 @@ var dnanmeankbn2 = require( '@stdlib/stats/strided/dnanmeankbn2' );
 
 #### dnanmeankbn2( N, x, strideX )
 
-Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array `x`, ignoring the `NaN` values using a second-order iterative Kahan–Babuška algorithm.
+Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array `x`, ignoring `NaN` values using a second-order iterative Kahan–Babuška algorithm.
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
@@ -98,7 +98,7 @@ var v = dnanmeankbn2( 5, x1, 2 );
 
 #### dnanmeankbn2.ndarray( N, x, strideX, offsetX )
 
-Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array ignoring `NaN` values using a second-order iterative Kahan–Babuška algorithm and alternative indexing semantics.
+Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array, ignoring `NaN` values using a second-order iterative Kahan–Babuška algorithm and alternative indexing semantics.
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
@@ -191,7 +191,7 @@ console.log( v );
 
 #### stdlib_strided_dnanmeankbn2( N, \*X, strideX )
 
-Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array ignoring `NaN` values using a second-order iterative Kahan–Babuška algorithm.
+Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array, ignoring `NaN` values using a second-order iterative Kahan–Babuška algorithm.
 
 ```c
 const double x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };
@@ -212,7 +212,7 @@ double stdlib_strided_dnanmeankbn2( const CBLAS_INT N, const double *X, const CB
 
 #### stdlib_strided_dnanmeankbn2_ndarray( N, \*X, strideX, offsetX )
 
-Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array ignoring `NaN` values using a second-order iterative Kahan–Babuška algorithm and alternative indexing semantics.
+Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array, ignoring `NaN` values using a second-order iterative Kahan–Babuška algorithm and alternative indexing semantics.
 
 ```c
 const double x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };

lib/node_modules/@stdlib/stats/strided/dnanmeankbn2/docs/repl.txt

@@ -1,7 +1,7 @@
 
 {{alias}}( N, x, strideX )
     Computes the arithmetic mean of a double-precision floating-point strided
-    array, ignoring `NaN` values and using a
+    array, ignoring `NaN` values, using a
     second-order iterative Kahan–Babuška algorithm.
 
     The `N` and stride parameters determine which elements in the strided array
@@ -51,7 +51,7 @@
 
 {{alias}}.ndarray( N, x, strideX, offsetX )
     Computes the arithmetic mean of a double-precision floating-point strided
-    array, ignoring `NaN` values and using a second-order
+    array, ignoring `NaN` values, using a second-order
     iterative Kahan–Babuška algorithm and alternative indexing semantics.
 
     While typed array views mandate a view offset based on the underlying

lib/node_modules/@stdlib/stats/strided/dnanmeankbn2/docs/types/index.d.ts

@@ -23,7 +23,7 @@
 */
 interface Routine {
 	/**
-	* Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.
+	* Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values, using a second-order iterative Kahan–Babuška algorithm.
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
@@ -41,7 +41,7 @@ interface Routine {
 	( N: number, x: Float64Array, strideX: number ): number;
 
 	/**
-	* Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm and alternative indexing semantics.
+	* Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values, using a second-order iterative Kahan–Babuška algorithm and alternative indexing semantics.
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
@@ -61,7 +61,7 @@ interface Routine {
 }
 
 /**
-* Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.
+* Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values, using a second-order iterative Kahan–Babuška algorithm.
 *
 * @param N - number of indexed elements
 * @param x - input array

lib/node_modules/@stdlib/stats/strided/dnanmeankbn2/include/stdlib/stats/strided/dnanmeankbn2.h

@@ -29,12 +29,12 @@ extern "C" {
 #endif
 
 /**
-* Computes the arithmetic mean of a double-precision floating-point strided array ignoring the `NaN` values using a second-order iterative Kahan–Babuška algorithm.
+* Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values, using a second-order iterative Kahan–Babuška algorithm.
 */
 double API_SUFFIX(stdlib_strided_dnanmeankbn2)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX );
 
 /**
-* Computes the arithmetic mean of a double-precision floating-point strided array ignoring the `NaN` using a second-order iterative Kahan–Babuška algorithm and alternative indexing semantics.
+* Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values, using a second-order iterative Kahan–Babuška algorithm and alternative indexing semantics.
 */
 double API_SUFFIX(stdlib_strided_dnanmeankbn2_ndarray)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
 

lib/node_modules/@stdlib/stats/strided/dnanmeankbn2/lib/dnanmeankbn2.js

@@ -27,7 +27,7 @@ var ndarray = require( './ndarray.js' );
 // MAIN //
 
 /**
-* Computes the arithmetic mean of a double-precision floating-point strided array ignoring the `NaN` using a second-order iterative Kahan–Babuška algorithm.
+* Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values, using a second-order iterative Kahan–Babuška algorithm.
 *
 * ## Method
 *

lib/node_modules/@stdlib/stats/strided/dnanmeankbn2/lib/dnanmeankbn2.native.js

@@ -26,7 +26,7 @@ var addon = require( './../src/addon.node' );
 // MAIN //
 
 /**
-* Computes the arithmetic mean of a double-precision floating-point strided array ignoring the `NaN` using a second-order iterative Kahan–Babuška algorithm.
+* Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values, using a second-order iterative Kahan–Babuška algorithm.
 *
 * @param {PositiveInteger} N - number of indexed elements
 * @param {Float64Array} x - input array

lib/node_modules/@stdlib/stats/strided/dnanmeankbn2/lib/ndarray.js

@@ -24,10 +24,15 @@ var dnannsumkbn2 = require( '@stdlib/blas/ext/base/dnannsumkbn2' ).ndarray;
 var Float64Array = require( '@stdlib/array/float64' );
 
 
+// VARIABLES //
+
+var WORKSPACE = new Float64Array( 2 );
+
+
 // MAIN //
 
 /**
-* Computes the arithmetic mean of a double-precision floating-point strided array ignoring the `NaN` using a second-order iterative Kahan–Babuška algorithm.
+* Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values, using a second-order iterative Kahan–Babuška algorithm.
 *
 * ## Method
 *
@@ -52,16 +57,16 @@ var Float64Array = require( '@stdlib/array/float64' );
 * // returns 1.25
 */
 function dnanmeankbn2( N, x, strideX, offsetX ) {
-	var output = new Float64Array( 2 );
-
 	if ( N <= 0 ) {
 		return NaN;
 	}
 	if ( N === 1 || strideX === 0 ) {
 		return x[ offsetX ];
 	}
-	output = dnannsumkbn2( N, x, strideX, offsetX, output, 1, 0 );
-	return output[ 0 ] / output[ 1 ];
+	WORKSPACE[ 0 ] = 0.0;
+	WORKSPACE[ 1 ] = 0;
+	dnannsumkbn2( N, x, strideX, offsetX, WORKSPACE, 1, 0 );
+	return WORKSPACE[ 0 ] / WORKSPACE[ 1 ];
 }
 
 

lib/node_modules/@stdlib/stats/strided/dnanmeankbn2/lib/ndarray.native.js

@@ -26,7 +26,7 @@ var addon = require( './../src/addon.node' );
 // MAIN //
 
 /**
-* Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.
+* Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values, using a second-order iterative Kahan–Babuška algorithm.
 *
 * @param {PositiveInteger} N - number of indexed elements
 * @param {Float64Array} x - input array

lib/node_modules/@stdlib/stats/strided/dnanmeankbn2/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@stdlib/stats/strided/dnanmeankbn2",
   "version": "0.0.0",
-  "description": "Calculate the arithmetic mean of a double-precision floating-point strided array ignoring the `NaN` using a second-order iterative Kahan–Babuška algorithm.",
+  "description": "Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values, using a second-order iterative Kahan-Babuska algorithm.",
   "license": "Apache-2.0",
   "author": {
     "name": "The Stdlib Authors",

lib/node_modules/@stdlib/stats/strided/dnanmeankbn2/src/main.c

@@ -22,7 +22,7 @@
 #include "stdlib/strided/base/stride2offset.h"
 
 /**
-* Computes the arithmetic mean of a double-precision floating-point strided array ignoring the `NaN` values using a second-order iterative Kahan–Babuška algorithm.
+* Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values, using a second-order iterative Kahan–Babuška algorithm.
 *
 * ## Method
 *
@@ -43,7 +43,7 @@ double API_SUFFIX(stdlib_strided_dnanmeankbn2)( const CBLAS_INT N, const double
 }
 
 /**
-* Computes the arithmetic mean of a double-precision floating-point strided array ignoring the `NaN` using a second-order iterative Kahan–Babuška algorithm and alternative indexing semantics.
+* Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values, using a second-order iterative Kahan–Babuška algorithm and alternative indexing semantics.
 *
 * @param N        number of indexed elements
 * @param X        input array