docs(ndarray/meankbn): rewrite README to match project conventions

Author: Bureir

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

@@ -1,23 +1,42 @@
 # @stdlib/stats/base/ndarray/meankbn
 
-Compute the arithmetic mean of a one dimensional ndarray using improved Kahan-Babuska compensation.
-
-## Installation
-
-This package is part of the stdlib monorepo and is not published independently.
+> Compute the arithmetic mean of a one-dimensional ndarray using the improved Kahan–Babuška algorithm.
 
 ## Usage
 
 ```javascript
-var ndarray = require('@stdlib/ndarray/base/ctor');
-var Float64Array = require('@stdlib/array/float64');
-var meankbn = require('@stdlib/stats/base/ndarray/meankbn');
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var Float64Array = require( '@stdlib/array/float64' );
+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');
+var buf = new Float64Array( [ 1.0, 3.0, 4.0, 2.0 ] );
+var x = new ndarray( 'float64', buf, [ buf.length ], [ 1 ], 0, 'row-major' );
 
-// NOTE: ndarray variants accept an array-like of ndarrays:
-var v = meankbn([ x ]);
+// ndarray variants accept an array like of ndarrays:
+var v = meankbn( [ x ] );
 // returns 2.5
+```
+
+## 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`.
+
+## Examples
+
+```javascript
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var Float64Array = require( '@stdlib/array/float64' );
+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' );
+
+console.log( meankbn( [ x ] ) );
+```
 
+## See Also
 
+- `@stdlib/stats/base/ndarray/mean`
+- `@stdlib/stats/strided/meankbn`