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Author: stdlib-bot

CHANGELOG.md

@@ -3479,6 +3479,8 @@ A total of 557 issues were closed in this release:
 
 <details>
 
+-   [`7d92c02`](https://github.com/stdlib-js/stdlib/commit/7d92c02e873280404a69091107eec08afc1cbb74) - **docs:** fix typos and missing require in mediansorted packages _(by Philipp Burckhardt)_
+-   [`fd40621`](https://github.com/stdlib-js/stdlib/commit/fd40621d93fac33ff8a483754f3aa2c8c929f1b9) - **docs:** fix typos and inconsistencies in ndarray stats READMEs _(by Philipp Burckhardt)_
 -   [`e63bbbd`](https://github.com/stdlib-js/stdlib/commit/e63bbbd535150fb694d287d97adbb5d606bd42fe) - **docs:** update namespace table of contents [(#8639)](https://github.com/stdlib-js/stdlib/pull/8639) _(by stdlib-bot)_
 -   [`c0b3cef`](https://github.com/stdlib-js/stdlib/commit/c0b3cef48f22a420738a91fae2be1e327409ff8e) - **feat:** add `stats/base/ndarray/smediansorted` [(#8635)](https://github.com/stdlib-js/stdlib/pull/8635) _(by Divyanshu, Athan Reines)_
 -   [`59bea21`](https://github.com/stdlib-js/stdlib/commit/59bea210b0588dcd33452b65d93f9acf58bd4725) - **feat:** add `stats/base/ndarray/dmediansorted` [(#8637)](https://github.com/stdlib-js/stdlib/pull/8637) _(by Divyanshu, Athan Reines)_

base/ndarray/dmediansorted/docs/types/index.d.ts

@@ -23,7 +23,7 @@
 import { float64ndarray } from '@stdlib/types/ndarray';
 
 /**
-* Computes the median value of a sorted one-dimensional single-precision floating-point ndarray.
+* Computes the median value of a sorted one-dimensional double-precision floating-point ndarray.
 *
 * @param arrays - array-like object containing a sorted input ndarray
 * @returns median value

base/ndarray/dmediansorted/docs/types/test.ts

@@ -24,7 +24,7 @@ import dmediansorted = require( './index' );
 
 // TESTS //
 
-// The function returns a ndarray...
+// The function returns a number...
 {
 	const x = zeros( [ 10 ], {
 		'dtype': 'float64'

base/ndarray/meankbn2/README.md

@@ -20,7 +20,7 @@ limitations under the License.
 
 # meankbn2
 
-> Compute the [arithmetic mean][arithmetic-mean] of a one-dimensional ndarray using a second-order Kahan–Babuška algorithm.
+> Compute the [arithmetic mean][arithmetic-mean] of a one-dimensional ndarray using a second-order iterative Kahan–Babuška algorithm.
 
 <section class="intro">
 
@@ -53,7 +53,7 @@ var meankbn2 = require( '@stdlib/stats/base/ndarray/meankbn2' );
 
 #### meankbn2( arrays )
 
-Computes the [arithmetic mean][arithmetic-mean] of a one-dimensional ndarray using a second-order Kahan–Babuška algorithm.
+Computes the [arithmetic mean][arithmetic-mean] of a one-dimensional ndarray using a second-order iterative Kahan–Babuška algorithm.
 
 ```javascript
 var ndarray = require( '@stdlib/ndarray/base/ctor' );

base/ndarray/minsorted/README.md

@@ -76,7 +76,7 @@ The function has the following parameters:
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var linspace = require( '@stdlib/array/base/linspace' );
+var linspace = require( '@stdlib/array/linspace' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var minsorted = require( '@stdlib/stats/base/ndarray/minsorted' );

base/ndarray/smeanlipw/README.md

@@ -20,7 +20,7 @@ limitations under the License.
 
 # smeanlipw
 
-> Compute the [arithmetic mean][arithmetic-mean] of a one-dimensional double-precision floating-point ndarray using a one-pass trial mean algorithm with pairwise summation.
+> Compute the [arithmetic mean][arithmetic-mean] of a one-dimensional single-precision floating-point ndarray using a one-pass trial mean algorithm with pairwise summation.
 
 <section class="intro">
 

base/ndarray/smediansorted/docs/types/test.ts

@@ -24,7 +24,7 @@ import smediansorted = require( './index' );
 
 // TESTS //
 
-// The function returns a ndarray...
+// The function returns a number...
 {
 	const x = zeros( [ 10 ], {
 		'dtype': 'float32'

base/ndarray/smediansorted/lib/index.js

@@ -24,6 +24,7 @@
 * @module @stdlib/stats/base/ndarray/smediansorted
 *
 * @example
+* var Float32Array = require( '@stdlib/array/float32' );
 * var ndarray = require( '@stdlib/ndarray/base/ctor' );
 * var smediansorted = require( '@stdlib/stats/base/ndarray/smediansorted' );
 *