Update README.md to fit project conventions

Signed-off-by: Bureir AL <[email protected]>

Author: Bureir

lib/node_modules/@stdlib/stats/base/ndarray/meankbn/README.md

@@ -1,6 +1,51 @@
+<!--
+
+@license Apache-2.0
+
+Copyright (c) 2025 The Stdlib Authors.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+   http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+
+-->
+
 # @stdlib/stats/base/ndarray/meankbn
 
-> Compute the arithmetic mean of a one-dimensional ndarray using the improved Kahan–Babuška algorithm.
+> Compute the [arithmetic mean][arithmetic-mean] of a one-dimensional ndarray using the improved Kahan-Babuska algorithm.
+
+<section class="intro">
+
+The [arithmetic mean][arithmetic-mean] is defined as
+
+<!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
+
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@develop/lib/node_modules/%40stdlib/stats/base/ndarray/meankbn/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
+    <br>
+</div> -->
+
+<!-- </equation> -->
+
+This package provides an ndarray wrapper which maps a one-dimensional ndarray's buffer, length, stride, and offset into the corresponding strided kernel in [`@stdlib/stats/strided/meankbn`][@stdlib/stats/strided/meankbn].
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
 
 ## Usage
 
@@ -12,20 +57,46 @@ var meankbn = require( '@stdlib/stats/base/ndarray/meankbn' );
 var buf = new Float64Array( [ 1.0, 3.0, 4.0, 2.0 ] );
 var x = new ndarray( 'float64', buf, [ buf.length ], [ 1 ], 0, 'row-major' );
 
-// ndarray variants accept an array like of ndarrays:
+// ndarray variants accept an array-like of ndarrays:
 var v = meankbn( [ x ] );
 // returns 2.5
 ```
 
+#### meankbn( arrays )
+
+Computes the [arithmetic mean][arithmetic-mean] of a one-dimensional ndarray using the improved Kahan-Babuska algorithm.
+
+The function has the following parameters:
+
+- **arrays**: array-like object containing a single input ndarray.
+
+**Returns**: arithmetic mean as a `number`.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
 ## Notes
 
-- If provided an empty vector, the function returns `NaN`.
-- Supports non-unit and negative strides and non-zero offsets.
-- Thin wrapper around `@stdlib/stats/strided/meankbn`.
+- If provided an empty ndarray, the function returns `NaN`.
+- The wrapper supports non-unit and negative strides and non-zero offsets.
+- This package is a thin ndarray wrapper around [`@stdlib/stats/strided/meankbn`][@stdlib/stats/strided/meankbn]. Accuracy benefits come from compensated summation in the strided core.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
 
 ## Examples
 
+<!-- eslint-disable no-console -->
+
 ```javascript
+'use strict';
+
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var Float64Array = require( '@stdlib/array/float64' );
 var meankbn = require( '@stdlib/stats/base/ndarray/meankbn' );
@@ -36,7 +107,31 @@ var x = new ndarray( 'float64', buf, [ buf.length ], [ 1 ], 0, 'row-major' );
 console.log( meankbn( [ x ] ) );
 ```
 
+</section>
+
+<!-- /.examples -->
+
+<section class="related">
+
+* * *
+
 ## See Also
 
-- `@stdlib/stats/base/ndarray/mean`
-- `@stdlib/stats/strided/meankbn`
+- <span class="package-name">[`@stdlib/stats/base/ndarray/mean`][@stdlib/stats/base/ndarray/mean]</span><span class="delimiter">: </span><span class="description">compute the arithmetic mean of a one-dimensional ndarray.</span>
+- <span class="package-name">[`@stdlib/stats/strided/meankbn`][@stdlib/stats/strided/meankbn]</span><span class="delimiter">: </span><span class="description">compute the arithmetic mean using the improved Kahan-Babuska algorithm for strided arrays.</span>
+
+</section>
+
+<!-- /.related -->
+
+<section class="links">
+
+[arithmetic-mean]: https://en.wikipedia.org/wiki/Arithmetic_mean
+
+[@stdlib/stats/base/ndarray/mean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/mean
+
+[@stdlib/stats/strided/meankbn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/meankbn
+
+</section>
+
+<!-- /.links -->