feat: update stats/strided/distances TypeScript declarations

PR-URL: #10667
Reviewed-by: Athan Reines <kgryte@gmail.com>

Author: stdlib-bot

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

@@ -20,16 +20,48 @@
 
 /* eslint-disable max-lines */
 
+import dchebyshev = require( '@stdlib/stats/strided/distances/dchebyshev' );
 import dcityblock = require( '@stdlib/stats/strided/distances/dcityblock' );
 import dcosineDistance = require( '@stdlib/stats/strided/distances/dcosine-distance' );
 import dcosineSimilarity = require( '@stdlib/stats/strided/distances/dcosine-similarity' );
 import deuclidean = require( '@stdlib/stats/strided/distances/deuclidean' );
+import dminkowski = require( '@stdlib/stats/strided/distances/dminkowski' );
 import dsquaredEuclidean = require( '@stdlib/stats/strided/distances/dsquared-euclidean' );
 
 /**
 * Interface describing the `distances` namespace.
 */
 interface Namespace {
+	/**
+	* Computes the Chebyshev distance between two double-precision floating-point strided arrays.
+	*
+	* @param N - number of indexed elements
+	* @param x - first input array
+	* @param strideX - `x` stride length
+	* @param y - second input array
+	* @param strideY - `y` stride length
+	* @returns Chebyshev distance
+	*
+	* @example
+	* var Float64Array = require( '@stdlib/array/float64' );
+	*
+	* var x = new Float64Array( [ 4.0, 2.0, -3.0, 5.0, -1.0 ] );
+	* var y = new Float64Array( [ 2.0, 6.0, -1.0, -4.0, 8.0 ] );
+	*
+	* var z = ns.dchebyshev( x.length, x, 1, y, 1 );
+	* // returns 9.0
+	*
+	* @example
+	* var Float64Array = require( '@stdlib/array/float64' );
+	*
+	* var x = new Float64Array( [ 4.0, 2.0, -3.0, 5.0, -1.0 ] );
+	* var y = new Float64Array( [ 2.0, 6.0, -1.0, -4.0, 8.0 ] );
+	*
+	* var z = ns.dchebyshev.ndarray( x.length, x, 1, 0, y, 1, 0 );
+	* // returns 9.0
+	*/
+	dchebyshev: typeof dchebyshev;
+
 	/**
 	* Computes the city block (Manhattan) distance between two double-precision floating-point strided arrays.
 	*
@@ -150,6 +182,37 @@ interface Namespace {
 	*/
 	deuclidean: typeof deuclidean;
 
+	/**
+	* Computes the Minkowski distance between two double-precision floating-point strided arrays.
+	*
+	* @param N - number of indexed elements
+	* @param p - order of the Minkowski norm
+	* @param x - first input array
+	* @param strideX - `x` stride length
+	* @param y - second input array
+	* @param strideY - `y` stride length
+	* @returns Minkowski distance
+	*
+	* @example
+	* var Float64Array = require( '@stdlib/array/float64' );
+	*
+	* var x = new Float64Array( [ 4.0, 2.0, -3.0, 5.0, -1.0 ] );
+	* var y = new Float64Array( [ 2.0, 6.0, -1.0, -4.0, 8.0 ] );
+	*
+	* var z = ns.dminkowski( x.length, 3, x, 1, y, 1 );
+	* // returns ~11.543
+	*
+	* @example
+	* var Float64Array = require( '@stdlib/array/float64' );
+	*
+	* var x = new Float64Array( [ 4.0, 2.0, -3.0, 5.0, -1.0 ] );
+	* var y = new Float64Array( [ 2.0, 6.0, -1.0, -4.0, 8.0 ] );
+	*
+	* var z = ns.dminkowski.ndarray( x.length, 3, x, 1, 0, y, 1, 0 );
+	* // returns ~11.543
+	*/
+	dminkowski: typeof dminkowski;
+
 	/**
 	* Computes the squared Euclidean distance between two double-precision floating-point strided arrays.
 	*