docs: update namespace TypeScript declarations

PR-URL: #6357

Reviewed-by: Philipp Burckhardt <[email protected]>
Signed-off-by: stdlib-bot <[email protected]>

Author: stdlib-bot

lib/node_modules/@stdlib/ndarray/base/docs/types/index.d.ts

@@ -954,7 +954,7 @@ interface Namespace {
 	*
 	* ## Notes
 	*
-	* -   A `value` must be able to safely cast to the input ndarray data type. Scalar values having floating-point data types (both real and complex) are allowed to downcast to a lower precision data type of the same kind (e.g., a scalar double-precision floating-point number can be used to fill a 'float32' input ndarray).
+	* -   A `value` must be able to safely cast to the input ndarray data type. Scalar values having floating-point data types (both real and complex) are allowed to downcast to a lower precision data type of the same kind (e.g., a scalar double-precision floating-point number can be used to fill a `'float32'` input ndarray).
 	*
 	* @param x - input ndarray
 	* @param value - scalar value

lib/node_modules/@stdlib/ndarray/docs/types/index.d.ts

@@ -577,7 +577,7 @@ interface Namespace {
 	*
 	* ## Notes
 	*
-	* -   A `value` must be able to safely cast to the input ndarray data type. Scalar values having floating-point data types (both real and complex) are allowed to downcast to a lower precision data type of the same kind (e.g., a scalar double-precision floating-point number can be used to fill a 'float32' input ndarray).
+	* -   A `value` must be able to safely cast to the input ndarray data type. Scalar values having floating-point data types (both real and complex) are allowed to downcast to a lower precision data type of the same kind (e.g., a scalar double-precision floating-point number can be used to fill a `'float32'` input ndarray).
 	*
 	* @param x - input ndarray
 	* @param value - scalar value

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

@@ -2929,7 +2929,7 @@ interface Namespace {
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns range
 	*
 	* @example