fix: align stats/strided/distances/dcorrelation docs and include guard with siblings

https://claude.ai/code/session_01PYMuhnRSCirT5T3Bn4o4Lj

Author: claude

lib/node_modules/@stdlib/stats/strided/distances/dcorrelation/README.md

@@ -20,7 +20,7 @@ limitations under the License.
 
 # dcorrelation
 
-> Calculate the [correlation distance][correlation-distance] between two double-precision floating-point strided arrays.
+> Compute the [correlation distance][correlation-distance] between two double-precision floating-point strided arrays.
 
 <section class="intro">
 
@@ -36,8 +36,6 @@ D(X, Y) = 1 - \frac{\displaystyle\sum_{i=0}^{N-1} (x_i - \bar{x})(y_i - \bar{y})
 
 where `x_i` and `y_i` are the _ith_ components of vectors **X** and **Y**, respectively.
 
-<!-- </equation> -->
-
 
 </section>
 
@@ -53,7 +51,7 @@ var dcorrelation = require( '@stdlib/stats/strided/distances/dcorrelation' );
 
 #### dcorrelation( N, x, strideX, y, strideY )
 
-Computes the [correlation distance][correlation-distance] of two double-precision floating-point strided arrays.
+Computes the [correlation distance][correlation-distance] between two double-precision floating-point strided arrays.
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
@@ -104,7 +102,7 @@ var c = dcorrelation( 4, x1, 2, y1, 2 );
 
 #### dcorrelation.ndarray( N, x, strideX, offsetX, y, strideY, offsetY )
 
-Computes the [correlation distance][correlation-distance] of two double-precision floating-point strided arrays using alternative indexing semantics.
+Computes the [correlation distance][correlation-distance] between two double-precision floating-point strided arrays using alternative indexing semantics.
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );

lib/node_modules/@stdlib/stats/strided/distances/dcorrelation/docs/repl.txt

@@ -9,7 +9,7 @@
     Indexing is relative to the first index. To introduce an offset, use a typed
     array view.
 
-    If `N <= 0`, the function returns `NaN`.
+    If `N <= 1`, the function returns `NaN`.
 
     Parameters
     ----------

lib/node_modules/@stdlib/stats/strided/distances/dcorrelation/docs/types/test.ts

@@ -242,7 +242,6 @@ import dcorrelation = require( './index' );
 	dcorrelation.ndarray( x.length, x ); // $ExpectError
 	dcorrelation.ndarray( x.length, x, 1 ); // $ExpectError
 	dcorrelation.ndarray( x.length, x, 1, 0 ); // $ExpectError
-	dcorrelation.ndarray( x.length, x, 1, 0 ); // $ExpectError
 	dcorrelation.ndarray( x.length, x, 1, 0, y ); // $ExpectError
 	dcorrelation.ndarray( x.length, x, 1, 0, y, 1 ); // $ExpectError
 	dcorrelation.ndarray( x.length, x, 1, 0, y, 1, 0, 0 ); // $ExpectError

lib/node_modules/@stdlib/stats/strided/distances/dcorrelation/include/stdlib/stats/strided/distances/dcorrelation.h

@@ -16,8 +16,8 @@
 * limitations under the License.
 */
 
-#ifndef STDLIB_STATS_STRIDED_DCORRELATION_H
-#define STDLIB_STATS_STRIDED_DCORRELATION_H
+#ifndef STDLIB_STATS_STRIDED_DISTANCES_DCORRELATION_H
+#define STDLIB_STATS_STRIDED_DISTANCES_DCORRELATION_H
 
 #include "stdlib/blas/base/shared.h"
 
@@ -42,4 +42,4 @@ double API_SUFFIX(stdlib_strided_dcorrelation_ndarray)( const CBLAS_INT N, const
 }
 #endif
 
-#endif // !STDLIB_STATS_STRIDED_DCORRELATION_H
+#endif // !STDLIB_STATS_STRIDED_DISTANCES_DCORRELATION_H