diff --git a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/README.md b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/README.md
index 09a7a63f133c..082218f7d2d8 100644
--- a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/README.md
+++ b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/README.md
@@ -51,7 +51,7 @@ The [arithmetic mean][arithmetic-mean] is defined as
 var sdsnanmeanors = require( '@stdlib/stats/base/sdsnanmeanors' );
 ```
 
-#### sdsnanmeanors( N, x, stride )
+#### sdsnanmeanors( N, x, strideX )
 
 Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array `x`, ignoring `NaN` values and using ordinary recursive summation with extended accumulation.
 
@@ -69,18 +69,16 @@ The function has the following parameters:
 
 -   **N**: number of indexed elements.
 -   **x**: input [`Float32Array`][@stdlib/array/float32].
--   **stride**: index increment for `x`.
+-   **strideX**: index increment for `x`.
 
-The `N` and `stride` parameters determine which elements in `x` are accessed at runtime. For example, to compute the [arithmetic mean][arithmetic-mean] of every other element in `x`,
+The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the [arithmetic mean][arithmetic-mean] of every other element in `x`,
 
 ```javascript
 var Float32Array = require( '@stdlib/array/float32' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x = new Float32Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0, NaN ] );
-var N = floor( x.length / 2 );
 
-var v = sdsnanmeanors( N, x, 2 );
+var v = sdsnanmeanors( 4, x, 2 );
 // returns 1.25
 ```
 
@@ -90,18 +88,15 @@ Note that indexing is relative to the first index. To introduce an offset, use [
 
 ```javascript
 var Float32Array = require( '@stdlib/array/float32' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x0 = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
 var x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 
-var N = floor( x0.length / 2 );
-
-var v = sdsnanmeanors( N, x1, 2 );
+var v = sdsnanmeanors( 4, x1, 2 );
 // returns 1.25
 ```
 
-#### sdsnanmeanors.ndarray( N, x, stride, offset )
+#### sdsnanmeanors.ndarray( N, x, strideX, offsetX )
 
 Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation with extended accumulation and alternative indexing semantics.
 
@@ -109,26 +104,23 @@ Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-p
 var Float32Array = require( '@stdlib/array/float32' );
 
 var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
-var N = x.length;
 
-var v = sdsnanmeanors.ndarray( N, x, 1, 0 );
+var v = sdsnanmeanors.ndarray( x.length, x, 1, 0 );
 // returns ~0.33333
 ```
 
 The function has the following additional parameters:
 
--   **offset**: starting index for `x`.
+-   **offsetX**: starting index for `x`.
 
-While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offset` parameter supports indexing semantics based on a starting index. For example, to calculate the [arithmetic mean][arithmetic-mean] for every other value in `x` starting from the second value
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameter supports indexing semantics based on a starting index. For example, to calculate the [arithmetic mean][arithmetic-mean] for every other element in `x` starting from the second element
 
 ```javascript
 var Float32Array = require( '@stdlib/array/float32' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
-var N = floor( x.length / 2 );
 
-var v = sdsnanmeanors.ndarray( N, x, 2, 1 );
+var v = sdsnanmeanors.ndarray( 4, x, 2, 1 );
 // returns 1.25
 ```
 
@@ -155,22 +147,12 @@ var v = sdsnanmeanors.ndarray( N, x, 2, 1 );
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var randu = require( '@stdlib/random/base/randu' );
-var round = require( '@stdlib/math/base/special/round' );
-var Float32Array = require( '@stdlib/array/float32' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var sdsnanmeanors = require( '@stdlib/stats/base/sdsnanmeanors' );
 
-var x;
-var i;
-
-x = new Float32Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-    if ( randu() < 0.2 ) {
-        x[ i ] = NaN;
-    } else {
-        x[ i ] = round( (randu()*100.0) - 50.0 );
-    }
-}
+var x = discreteUniform( 10, -50, 50, {
+    'dtype': 'float32'
+});
 console.log( x );
 
 var v = sdsnanmeanors( x.length, x, 1 );
@@ -198,7 +180,7 @@ Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-p
 ```c
 const float x[] = { 1.0, -2.0, 0.0/0.0, 2.0 };
 
-double v = stdlib_strided_sdsnanmeanors( 4, x, 1 );
+double v = stdlib_strided_sdsnanmeanors( x.length, x, 1 );
 // returns ~0.3333
 ```
 
@@ -219,7 +201,7 @@ Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-p
 ```c
 const float x[] = { 1.0, -2.0, 0.0/0.0, 2.0 };
 
-double v = stdlib_strided_sdsnanmeanors_ndarray( 4, x, 1, 0 );
+double v = stdlib_strided_sdsnanmeanors_ndarray( x.length, x, 1, 0 );
 // returns ~0.3333
 ```
 
diff --git a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/benchmark/benchmark.js
index 8b36975df7f8..eee9088aa95c 100644
--- a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/benchmark/benchmark.js
@@ -21,14 +21,20 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float32Array = require( '@stdlib/array/float32' );
 var pkg = require( './../package.json' ).name;
 var sdsnanmeanors = require( './../lib/sdsnanmeanors.js' );
 
 
+// VARIABLES //
+
+var options = {
+	'dtype': 'float32'
+};
+
+
 // FUNCTIONS //
 
 /**
@@ -39,17 +45,7 @@ var sdsnanmeanors = require( './../lib/sdsnanmeanors.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float32Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*20.0 ) - 10.0;
-		}
-	}
+	var x = uniform( len, -10.0, 10.0, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/benchmark/benchmark.native.js
index 4d2212ef436a..795f73f9fadd 100644
--- a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/benchmark/benchmark.native.js
@@ -22,10 +22,9 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float32Array = require( '@stdlib/array/float32' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -36,6 +35,9 @@ var sdsnanmeanors = tryRequire( resolve( __dirname, './../lib/sdsnanmeanors.nati
 var opts = {
 	'skip': ( sdsnanmeanors instanceof Error )
 };
+var options = {
+	'dtype': 'float32'
+};
 
 
 // FUNCTIONS //
@@ -48,17 +50,7 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float32Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*20.0 ) - 10.0;
-		}
-	}
+	var x = uniform( len, -10.0, 10.0, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/benchmark/benchmark.ndarray.js
index 758f552378fd..7970d4e65df5 100644
--- a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/benchmark/benchmark.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/benchmark/benchmark.ndarray.js
@@ -21,14 +21,20 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float32Array = require( '@stdlib/array/float32' );
 var pkg = require( './../package.json' ).name;
 var sdsnanmeanors = require( './../lib/ndarray.js' );
 
 
+// VARIABLES //
+
+var options = {
+	'dtype': 'float32'
+};
+
+
 // FUNCTIONS //
 
 /**
@@ -39,17 +45,7 @@ var sdsnanmeanors = require( './../lib/ndarray.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float32Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*20.0 ) - 10.0;
-		}
-	}
+	var x = uniform( len, -10.0, 10.0, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/benchmark/benchmark.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/benchmark/benchmark.ndarray.native.js
index e9d3a65aa30b..f7322d595995 100644
--- a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/benchmark/benchmark.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/benchmark/benchmark.ndarray.native.js
@@ -22,10 +22,9 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float32Array = require( '@stdlib/array/float32' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -36,6 +35,9 @@ var sdsnanmeanors = tryRequire( resolve( __dirname, './../lib/ndarray.native.js'
 var opts = {
 	'skip': ( sdsnanmeanors instanceof Error )
 };
+var options = {
+	'dtype': 'float32'
+};
 
 
 // FUNCTIONS //
@@ -48,17 +50,7 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float32Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*20.0 ) - 10.0;
-		}
-	}
+	var x = uniform( len, -10.0, 10.0, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/docs/repl.txt
index 8c212be775ff..37bb4734e670 100644
--- a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/docs/repl.txt
@@ -1,11 +1,11 @@
 
-{{alias}}( N, x, stride )
+{{alias}}( N, x, strideX )
     Computes the arithmetic mean of a single-precision floating-point strided
     array, ignoring `NaN` values and using ordinary recursive summation with
     extended accumulation.
 
-    The `N` and `stride` parameters determine which elements in `x` are accessed
-    at runtime.
+    The `N` and stride parameters determine which elements in the strided array
+    are accessed at runtime.
 
     Indexing is relative to the first index. To introduce an offset, use a typed
     array view.
@@ -22,8 +22,8 @@
     x: Float32Array
         Input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride Length.
 
     Returns
     -------
@@ -37,22 +37,19 @@
     > {{alias}}( x.length, x, 1 )
     ~0.3333
 
-    // Using `N` and `stride` parameters:
+    // Using `N` and stride parameters:
     > x = new {{alias:@stdlib/array/float32}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > var stride = 2;
-    > {{alias}}( N, x, stride )
+    > {{alias}}( 3, x, 2 )
     ~0.3333
 
     // Using view offsets:
     > var x0 = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN ] );
     > var x1 = new {{alias:@stdlib/array/float32}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
-    > N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 );
-    > stride = 2;
-    > {{alias}}( N, x1, stride )
+    > {{alias}}( 3, x1, 2 )
     ~-0.3333
 
-{{alias}}.ndarray( N, x, stride, offset )
+
+{{alias}}.ndarray( N, x, strideX, offsetX )
     Computes the arithmetic mean of a single-precision floating-point strided
     array, ignoring `NaN` values and using ordinary recursive summation with
     extended accumulation and alternative indexing semantics.
@@ -69,10 +66,10 @@
     x: Float32Array
         Input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride Length.
 
-    offset: integer
+    offsetX: integer
         Starting index.
 
     Returns
@@ -89,8 +86,7 @@
 
     // Using offset parameter:
     > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > {{alias}}.ndarray( N, x, 2, 1 )
+    > {{alias}}.ndarray( 3, x, 2, 1 )
     ~-0.3333
 
     See Also
diff --git a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/docs/types/index.d.ts
index 94a947f481d9..7807332406aa 100644
--- a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/docs/types/index.d.ts
@@ -27,7 +27,7 @@ interface Routine {
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns arithmetic mean
 	*
 	* @example
@@ -38,15 +38,15 @@ interface Routine {
 	* var v = sdsnanmeanors( x.length, x, 1 );
 	* // returns ~0.3333
 	*/
-	( N: number, x: Float32Array, stride: number ): number;
+	( N: number, x: Float32Array, strideX: number ): number;
 
 	/**
 	* Computes the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation with extended accumulation and alternative indexing semantics.
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param stride - stride length
-	* @param offset - starting index
+	* @param strideX - stride length
+	* @param offsetX - starting index
 	* @returns arithmetic mean
 	*
 	* @example
@@ -57,7 +57,7 @@ interface Routine {
 	* var v = sdsnanmeanors.ndarray( x.length, x, 1, 0 );
 	* // returns ~0.3333
 	*/
-	ndarray( N: number, x: Float32Array, stride: number, offset: number ): number;
+	ndarray( N: number, x: Float32Array, strideX: number, offsetX: number ): number;
 }
 
 /**
@@ -65,7 +65,7 @@ interface Routine {
 *
 * @param N - number of indexed elements
 * @param x - input array
-* @param stride - stride length
+* @param strideX - stride length
 * @returns arithmetic mean
 *
 * @example
diff --git a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/examples/c/example.c
index 610fd055e7d2..1bcb31d6be1d 100644
--- a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/examples/c/example.c
+++ b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/examples/c/example.c
@@ -17,21 +17,20 @@
 */
 
 #include "stdlib/stats/base/sdsnanmeanors.h"
-#include <stdint.h>
 #include <stdio.h>
 
 int main( void ) {
 	// Create a strided array:
-	float x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };
+	const float x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };
 
 	// Specify the number of elements:
-	int64_t N = 6;
+	const int N = 6;
 
 	// Specify the stride length:
-	int64_t stride = 2;
+	const int strideX = 2;
 
 	// Compute the arithmetic mean:
-	float v = stdlib_strided_sdsnanmeanors( N, x, stride );
+	float v = stdlib_strided_sdsnanmeanors( N, x, strideX );
 
 	// Print the result:
 	printf( "mean: %f\n", v );
diff --git a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/examples/index.js b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/examples/index.js
index dfd679fa98e3..a20a077abed9 100644
--- a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/examples/index.js
@@ -18,22 +18,12 @@
 
 'use strict';
 
-var randu = require( '@stdlib/random/base/randu' );
-var round = require( '@stdlib/math/base/special/round' );
-var Float32Array = require( '@stdlib/array/float32' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var sdsnanmeanors = require( './../lib' );
 
-var x;
-var i;
-
-x = new Float32Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-	if ( randu() < 0.2 ) {
-		x[ i ] = NaN;
-	} else {
-		x[ i ] = round( (randu()*100.0) - 50.0 );
-	}
-}
+var x = discreteUniform( 10, -50, 50, {
+	'dtype': 'float32'
+});
 console.log( x );
 
 var v = sdsnanmeanors( x.length, x, 1 );
diff --git a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/include/stdlib/stats/base/sdsnanmeanors.h b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/include/stdlib/stats/base/sdsnanmeanors.h
index 7e589d48c9ca..d5498561a29d 100644
--- a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/include/stdlib/stats/base/sdsnanmeanors.h
+++ b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/include/stdlib/stats/base/sdsnanmeanors.h
@@ -31,12 +31,12 @@ extern "C" {
 /**
 * Computes the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation with extended accumulation.
 */
-float API_SUFFIX( stdlib_strided_sdsnanmeanors )( const CBLAS_INT N, const float *X, const CBLAS_INT strideX );
+double API_SUFFIX( stdlib_strided_sdsnanmeanors )( const CBLAS_INT N, const float *X, const CBLAS_INT strideX );
 
 /**
-* Computes the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation with extended accumulation.
+* Computes the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation with extended accumulation and alternative indexing semantics.
 */
-float API_SUFFIX( stdlib_strided_sdsnanmeanors_ndarray )( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
+double API_SUFFIX( stdlib_strided_sdsnanmeanors_ndarray )( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
 
 #ifdef __cplusplus
 }
diff --git a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/lib/index.js b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/lib/index.js
index 07991c112927..1f8a4d616c44 100644
--- a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/lib/index.js
+++ b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/lib/index.js
@@ -28,20 +28,17 @@
 * var sdsnanmeanors = require( '@stdlib/stats/base/sdsnanmeanors' );
 *
 * var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
-* var N = x.length;
 *
-* var v = sdsnanmeanors( N, x, 1 );
+* var v = sdsnanmeanors( x.length, x, 1 );
 * // returns ~0.3333
 *
 * @example
 * var Float32Array = require( '@stdlib/array/float32' );
-* var floor = require( '@stdlib/math/base/special/floor' );
 * var sdsnanmeanors = require( '@stdlib/stats/base/sdsnanmeanors' );
 *
 * var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
-* var N = floor( x.length / 2 );
 *
-* var v = sdsnanmeanors.ndarray( N, x, 2, 1 );
+* var v = sdsnanmeanors.ndarray( 4, x, 2, 1 );
 * // returns 1.25
 */
 
diff --git a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/lib/ndarray.js b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/lib/ndarray.js
index 6a69f321246b..85d789dc0a60 100644
--- a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/lib/ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/lib/ndarray.js
@@ -26,7 +26,7 @@ var float64ToFloat32 = require( '@stdlib/number/float64/base/to-float32' );
 // MAIN //
 
 /**
-* Computes the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation with extended accumulation.
+* Computes the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation with extended accumulation and alternative indexing semantics.
 *
 * @param {PositiveInteger} N - number of indexed elements
 * @param {Float32Array} x - input array
@@ -36,12 +36,10 @@ var float64ToFloat32 = require( '@stdlib/number/float64/base/to-float32' );
 *
 * @example
 * var Float32Array = require( '@stdlib/array/float32' );
-* var floor = require( '@stdlib/math/base/special/floor' );
 *
 * var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
-* var N = floor( x.length / 2 );
 *
-* var v = sdsnanmeanors( N, x, 2, 1 );
+* var v = sdsnanmeanors( 4, x, 2, 1 );
 * // returns 1.25
 */
 function sdsnanmeanors( N, x, strideX, offsetX ) {
diff --git a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/lib/ndarray.native.js b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/lib/ndarray.native.js
index ebbd22391453..71aea189a8fc 100644
--- a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/lib/ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/lib/ndarray.native.js
@@ -26,22 +26,20 @@ var addon = require( './../src/addon.node' );
 // MAIN //
 
 /**
-* Computes the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation with extended accumulation.
+* Computes the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation with extended accumulation and alternative indexing semantics.
 *
 * @param {PositiveInteger} N - number of indexed elements
 * @param {Float32Array} x - input array
 * @param {integer} strideX - stride length
-* @param {NonNegativeInteger} offsetX - starting index
+* @param {NonNegativeInteger} offsetX - starting index for x
 * @returns {number} arithmetic mean
 *
 * @example
 * var Float32Array = require( '@stdlib/array/float32' );
-* var floor = require( '@stdlib/math/base/special/floor' );
 *
 * var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
-* var N = floor( x.length / 2 );
 *
-* var v = sdsnanmeanors( N, x, 2, 1 );
+* var v = sdsnanmeanors( 4, x, 2, 1 );
 *  //returns 1.25
 */
 function sdsnanmeanors( N, x, strideX, offsetX ) {
diff --git a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/lib/sdsnanmeanors.js b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/lib/sdsnanmeanors.js
index 471caa790281..8b4faf89871d 100644
--- a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/lib/sdsnanmeanors.js
+++ b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/lib/sdsnanmeanors.js
@@ -38,9 +38,8 @@ var ndarray = require( './ndarray.js' );
 * var Float32Array = require( '@stdlib/array/float32' );
 *
 * var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
-* var N = x.length;
 *
-* var v = sdsnanmeanors( N, x, 1 );
+* var v = sdsnanmeanors( x.length, x, 1 );
 * // returns ~0.3333
 */
 function sdsnanmeanors( N, x, strideX ) {
diff --git a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/lib/sdsnanmeanors.native.js b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/lib/sdsnanmeanors.native.js
index 3658b091e215..dadf1cb37967 100644
--- a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/lib/sdsnanmeanors.native.js
+++ b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/lib/sdsnanmeanors.native.js
@@ -37,9 +37,8 @@ var addon = require( './../src/addon.node' );
 * var Float32Array = require( '@stdlib/array/float32' );
 *
 * var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
-* var N = x.length;
 *
-* var v = sdsnanmeanors( N, x, 1 );
+* var v = sdsnanmeanors( x.length, x, 1 );
 *  //returns ~0.3333
 */
 function sdsnanmeanors( N, x, strideX ) {
diff --git a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/src/addon.c b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/src/addon.c
index b51e25ea23f5..3b802fbf59fd 100644
--- a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/src/addon.c
+++ b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/src/addon.c
@@ -37,7 +37,7 @@ static napi_value addon( napi_env env, napi_callback_info info ) {
 	STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
 	STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
 	STDLIB_NAPI_ARGV_STRIDED_FLOAT32ARRAY( env, X, N, strideX, argv, 1 );
-	STDLIB_NAPI_CREATE_DOUBLE( env, ( double )API_SUFFIX( stdlib_strided_sdsnanmeanors )( N, X, strideX ), v );
+	STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX( stdlib_strided_sdsnanmeanors )( N, X, strideX ), v );
 	return v;
 }
 
@@ -54,7 +54,7 @@ static napi_value addon_method( napi_env env, napi_callback_info info ) {
 	STDLIB_NAPI_ARGV_INT64( env, offsetX, argv, 3 );
 	STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
 	STDLIB_NAPI_ARGV_STRIDED_FLOAT32ARRAY( env, X, N, strideX, argv, 1 );
-	STDLIB_NAPI_CREATE_DOUBLE( env, ( double )API_SUFFIX( stdlib_strided_sdsnanmeanors_ndarray )( N, X, strideX, offsetX ), v );
+	STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX( stdlib_strided_sdsnanmeanors_ndarray )( N, X, strideX, offsetX ), v );
 	return v;
 }
 
diff --git a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/src/main.c b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/src/main.c
index 5db0b8592df3..f0e8d8fcdd73 100644
--- a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/src/main.c
+++ b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/src/main.c
@@ -27,22 +27,22 @@
 * @param N       number of indexed elements
 * @param X       input array
 * @param strideX  stride length
-* @return        output value
+* @return         output value
 */
-float API_SUFFIX( stdlib_strided_sdsnanmeanors )( const CBLAS_INT N, const float *X, const CBLAS_INT strideX ) {
+double API_SUFFIX( stdlib_strided_sdsnanmeanors )( const CBLAS_INT N, const float *X, const CBLAS_INT strideX ) {
 	const CBLAS_INT ox = stdlib_strided_stride2offset( N, strideX );
 	return API_SUFFIX( stdlib_strided_sdsnanmeanors_ndarray )( N, X, strideX, ox );
 }
 /**
-* Computes the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation with extended accumulation.
+* Computes the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation with extended accumulation and alternative indexing semantics.
 *
 * @param N       number of indexed elements
 * @param X       input array
 * @param strideX  stride length
-* @param offsetX  starting index
-* @return        output value
+* @param offsetX  starting index for X
+* @return         output value
 */
-float API_SUFFIX( stdlib_strided_sdsnanmeanors_ndarray )( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ) {
+double API_SUFFIX( stdlib_strided_sdsnanmeanors_ndarray )( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ) {
 	double sum;
 	CBLAS_INT ix;
 	CBLAS_INT i;
diff --git a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/test/test.ndarray.js b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/test/test.ndarray.js
index 6dd301d335a4..b66c2e7ead9b 100644
--- a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/test/test.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/test/test.ndarray.js
@@ -21,7 +21,6 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var Float32Array = require( '@stdlib/array/float32' );
 var sdsnanmeanors = require( './../lib/ndarray.js' );
@@ -90,7 +89,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 });
 
 tape( 'the function supports a `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -106,15 +104,13 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		NaN   // 4
 	]);
 
-	N = floor( x.length / 2 );
-	v = sdsnanmeanors( N, x, 2, 0 );
+	v = sdsnanmeanors( 4, x, 2, 0 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -130,8 +126,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 		NaN   // 0
 	]);
 
-	N = floor( x.length / 2 );
-	v = sdsnanmeanors( N, x, -2, 6 );
+	v = sdsnanmeanors( 4, x, -2, 6 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -150,7 +145,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 });
 
 tape( 'the function supports an `offset` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -166,9 +160,8 @@ tape( 'the function supports an `offset` parameter', function test( t ) {
 		NaN,
 		NaN   // 4
 	]);
-	N = floor( x.length / 2 );
 
-	v = sdsnanmeanors( N, x, 2, 1 );
+	v = sdsnanmeanors( 4, x, 2, 1 );
 	t.strictEqual( v, 1.25, 'returns expected value' );
 
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/test/test.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/test/test.ndarray.native.js
index 11c4168584b0..ebc1a2d598ee 100644
--- a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/test/test.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/test/test.ndarray.native.js
@@ -22,7 +22,6 @@
 
 var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var Float32Array = require( '@stdlib/array/float32' );
 var tryRequire = require( '@stdlib/utils/try-require' );
@@ -99,7 +98,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 });
 
 tape( 'the function supports a `stride` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -115,15 +113,13 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) {
 		NaN   // 4
 	]);
 
-	N = floor( x.length / 2 );
-	v = sdsnanmeanors( N, x, 2, 0 );
+	v = sdsnanmeanors( 4, x, 2, 0 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -139,8 +135,7 @@ tape( 'the function supports a negative `stride` parameter', opts, function test
 		NaN   // 0
 	]);
 
-	N = floor( x.length / 2 );
-	v = sdsnanmeanors( N, x, -2, 6 );
+	v = sdsnanmeanors( 4, x, -2, 6 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -159,7 +154,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 });
 
 tape( 'the function supports an `offset` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -175,9 +169,8 @@ tape( 'the function supports an `offset` parameter', opts, function test( t ) {
 		NaN,
 		NaN   // 4
 	]);
-	N = floor( x.length / 2 );
 
-	v = sdsnanmeanors( N, x, 2, 1 );
+	v = sdsnanmeanors( 4, x, 2, 1 );
 	t.strictEqual( v, 1.25, 'returns expected value' );
 
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/test/test.sdsnanmeanors.js b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/test/test.sdsnanmeanors.js
index 5c3250725ead..4aa6c85faaac 100644
--- a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/test/test.sdsnanmeanors.js
+++ b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/test/test.sdsnanmeanors.js
@@ -21,7 +21,6 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var Float32Array = require( '@stdlib/array/float32' );
 var sdsnanmeanors = require( './../lib/sdsnanmeanors.js' );
@@ -62,7 +61,7 @@ tape( 'the function calculates the arithmetic mean of a strided array, ignoring
 	t.end();
 });
 
-tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `NaN`', function test( t ) {
+tape( 'if provided an `4` parameter less than or equal to `0`, the function returns `NaN`', function test( t ) {
 	var x;
 	var v;
 
@@ -77,7 +76,7 @@ tape( 'if provided an `N` parameter less than or equal to `0`, the function retu
 	t.end();
 });
 
-tape( 'if provided an `N` parameter equal to `1`, the function returns the first element', function test( t ) {
+tape( 'if provided an `4` parameter equal to `1`, the function returns the first element', function test( t ) {
 	var x;
 	var v;
 
@@ -90,7 +89,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 });
 
 tape( 'the function supports a `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -106,15 +104,13 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		NaN   // 4
 	]);
 
-	N = floor( x.length / 2 );
-	v = sdsnanmeanors( N, x, 2 );
+	v = sdsnanmeanors( 4, x, 2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -130,8 +126,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 		NaN   // 0
 	]);
 
-	N = floor( x.length / 2 );
-	v = sdsnanmeanors( N, x, -2 );
+	v = sdsnanmeanors( 4, x, -2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -152,7 +147,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 tape( 'the function supports view offsets', function test( t ) {
 	var x0;
 	var x1;
-	var N;
 	var v;
 
 	x0 = new Float32Array([
@@ -169,9 +163,8 @@ tape( 'the function supports view offsets', function test( t ) {
 	]);
 
 	x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-	N = floor(x1.length / 2);
 
-	v = sdsnanmeanors( N, x1, 2 );
+	v = sdsnanmeanors( 4, x1, 2 );
 	t.strictEqual( v, 1.25, 'returns expected value' );
 
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/test/test.sdsnanmeanors.native.js b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/test/test.sdsnanmeanors.native.js
index a329de71f4ce..60ccabbf74e3 100644
--- a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/test/test.sdsnanmeanors.native.js
+++ b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/test/test.sdsnanmeanors.native.js
@@ -22,7 +22,6 @@
 
 var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var Float32Array = require( '@stdlib/array/float32' );
 var tryRequire = require( '@stdlib/utils/try-require' );
@@ -153,7 +152,7 @@ tape( 'the function calculates the arithmetic mean of a strided array, ignoring
 	t.end();
 });
 
-tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `NaN`', opts, function test( t ) {
+tape( 'if provided an `4` parameter less than or equal to `0`, the function returns `NaN`', opts, function test( t ) {
 	var x;
 	var v;
 
@@ -168,7 +167,7 @@ tape( 'if provided an `N` parameter less than or equal to `0`, the function retu
 	t.end();
 });
 
-tape( 'if provided an `N` parameter equal to `1`, the function returns the first element', opts, function test( t ) {
+tape( 'if provided an `4` parameter equal to `1`, the function returns the first element', opts, function test( t ) {
 	var x;
 	var v;
 
@@ -181,7 +180,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 });
 
 tape( 'the function supports a `stride` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -197,15 +195,13 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) {
 		NaN   // 4
 	]);
 
-	N = floor( x.length / 2 );
-	v = sdsnanmeanors( N, x, 2 );
+	v = sdsnanmeanors( 4, x, 2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -221,8 +217,7 @@ tape( 'the function supports a negative `stride` parameter', opts, function test
 		NaN   // 0
 	]);
 
-	N = floor( x.length / 2 );
-	v = sdsnanmeanors( N, x, -2 );
+	v = sdsnanmeanors( 4, x, -2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -243,7 +238,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 tape( 'the function supports view offsets', opts, function test( t ) {
 	var x0;
 	var x1;
-	var N;
 	var v;
 
 	x0 = new Float32Array([
@@ -260,9 +254,8 @@ tape( 'the function supports view offsets', opts, function test( t ) {
 	]);
 
 	x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-	N = floor(x1.length / 2);
 
-	v = sdsnanmeanors( N, x1, 2 );
+	v = sdsnanmeanors( 4, x1, 2 );
 	t.strictEqual( v, 1.25, 'returns expected value' );
 
 	t.end();