diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dsem/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/dsem/README.md
new file mode 100644
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--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dsem/README.md
@@ -0,0 +1,148 @@
+
+
+# dsem
+
+> Calculate the [standard error of the mean][standard-error] of a one-dimensional double-precision floating-point ndarray.
+
+
+
+The [standard error of the mean][standard-error] of a finite size sample of size `n` is given by
+
+
+
+```math
+\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}
+```
+
+
+
+
+
+where `σ` is the population [standard deviation][standard-deviation].
+
+Often in the analysis of data, the true population [standard deviation][standard-deviation] is not known _a priori_ and must be estimated from a sample drawn from the population distribution. In this scenario, one must use a sample [standard deviation][standard-deviation] to compute an estimate for the [standard error of the mean][standard-error]
+
+
+
+```math
+\sigma_{\bar{x}} \approx \frac{s}{\sqrt{n}}
+```
+
+
+
+
+
+where `s` is the sample [standard deviation][standard-deviation].
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var dsem = require( '@stdlib/stats/base/ndarray/dsem' );
+```
+
+#### dsem( arrays )
+
+Computes the [standard error of the mean][standard-error] of a one-dimensional double-precision floating-point ndarray.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+
+var opts = {
+ 'dtype': 'float64'
+};
+
+var xbuf = new Float64Array( [ 1.0, -2.0, 2.0 ] );
+var x = new ndarray( opts.dtype, xbuf, [ 3 ], [ 1 ], 0, 'row-major' );
+
+var correction = scalar2ndarray( 1.0, opts );
+
+var v = dsem( [ x, correction ] );
+// returns ~1.20185
+```
+
+The function accepts the following arguments:
+
+- **arrays**: array-like object containing a one-dimensional input ndarray and a zero-dimensional ndarray specifying a degrees of freedom adjustment.
+
+
+
+
+
+
+
+## Examples
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var dsem = require( '@stdlib/stats/base/ndarray/dsem' );
+
+var opts = {
+ 'dtype': 'float64'
+};
+
+var xbuf = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
+var x = new ndarray( opts.dtype, xbuf, [ 4 ], [ 2 ], 1, 'row-major' );
+
+var correction = scalar2ndarray( 1.0, opts );
+
+var v = dsem( [ x, correction ] );
+// returns 1.25
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[standard-error]: https://en.wikipedia.org/wiki/Standard_error
+
+[standard-deviation]: https://en.wikipedia.org/wiki/Standard_deviation
+
+
+
+
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dsem/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/dsem/benchmark/benchmark.js
new file mode 100644
index 000000000000..b5f7095d86f5
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dsem/benchmark/benchmark.js
@@ -0,0 +1,106 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+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 ndarray = require( '@stdlib/ndarray/base/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var dsem = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var correction;
+ var xbuf;
+ var x;
+
+ xbuf = uniform( len, -10.0, 10.0, options );
+ x = new ndarray( options.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major' );
+ correction = scalar2ndarray( 1.0, options );
+
+ return benchmark;
+
+ function benchmark( b ) {
+ var v;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = dsem( [ x, correction ] );
+ if ( isnan( v ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( v ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var f;
+ var i;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+ f = createBenchmark( len );
+ bench( format( '%s::len=%d', pkg, len ), f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dsem/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/ndarray/dsem/docs/repl.txt
new file mode 100644
index 000000000000..501f7e53f0d9
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dsem/docs/repl.txt
@@ -0,0 +1,41 @@
+
+{{alias}}( arrays )
+ Computes the standard error of the mean of a one-dimensional
+ double-precision floating-point ndarray.
+
+ If provided an empty one-dimensional ndarray, the function returns `NaN`.
+
+ Parameters
+ ----------
+ arrays: ArrayLikeObject
+ Array-like object containing a one-dimensional input ndarray and a
+ zero-dimensional ndarray specifying a degrees of freedom adjustment.
+
+ Returns
+ -------
+ out: number
+ The standard error of the mean.
+
+ Examples
+ --------
+ // Create input ndarray:
+ > var Float64Array = require( '@stdlib/array/float64' );
+ > var xbuf = new Float64Array( [ 1.0, -2.0, 2.0 ] );
+ > var dt = 'float64';
+ > var sh = [ xbuf.length ];
+ > var st = [ 1 ];
+ > var oo = 0;
+ > var ord = 'row-major';
+ > var x = new {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, st, oo, ord );
+
+ // Create correction ndarray:
+ > var opts = { 'dtype': dt };
+ > var correction = {{alias:@stdlib/ndarray/from-scalar}}( 1.0, opts );
+
+ // Compute the standard error of the mean:
+ > {{alias}}( [ x, correction ] )
+ ~1.20185
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dsem/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/ndarray/dsem/docs/types/index.d.ts
new file mode 100644
index 000000000000..e006c4abf355
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dsem/docs/types/index.d.ts
@@ -0,0 +1,52 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+///
+
+import { typedndarray } from '@stdlib/types/ndarray';
+
+/**
+* Computes the standard error of the mean of a one-dimensional double-precision floating-point ndarray.
+*
+* @param arrays - array-like object containing a one-dimensional input ndarray and a zero-dimensional ndarray specifying a degrees of freedom adjustment
+* @returns standard error of the mean
+*
+* @example
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var opts = {
+* 'dtype': 'float64'
+* };
+*
+* var xbuf = new Float64Array( [ 1.0, -2.0, 2.0 ] );
+* var x = new ndarray( opts.dtype, xbuf, [ 3 ], [ 1 ], 0, 'row-major' );
+* var correction = scalar2ndarray( 1.0, opts );
+*
+* var v = dsem( [ x, correction ] );
+* // returns ~1.20185
+*/
+declare function dsem = typedndarray>( arrays: [ T, T ] ): number;
+
+
+// EXPORTS //
+
+export = dsem;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dsem/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/ndarray/dsem/docs/types/test.ts
new file mode 100644
index 000000000000..fe54f55aae2f
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dsem/docs/types/test.ts
@@ -0,0 +1,64 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable space-in-parens */
+
+import zeros = require( '@stdlib/ndarray/zeros' );
+import scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+import dsem = require( './index' );
+
+
+// TESTS //
+
+// The function returns a number...
+{
+ const x = zeros( [ 10 ], {
+ 'dtype': 'float64'
+ });
+ const correction = scalar2ndarray( 1.0, {
+ 'dtype': 'float64'
+ });
+
+ dsem( [ x, correction ] ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+ dsem( '10' ); // $ExpectError
+ dsem( 10 ); // $ExpectError
+ dsem( true ); // $ExpectError
+ dsem( false ); // $ExpectError
+ dsem( null ); // $ExpectError
+ dsem( undefined ); // $ExpectError
+ dsem( [] ); // $ExpectError
+ dsem( {} ); // $ExpectError
+ dsem( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const x = zeros( [ 10 ], {
+ 'dtype': 'float64'
+ });
+ const correction = scalar2ndarray( 1.0, {
+ 'dtype': 'float64'
+ });
+
+ dsem(); // $ExpectError
+ dsem( [ x, correction ], 10 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dsem/examples/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/dsem/examples/index.js
new file mode 100644
index 000000000000..18bbd6238be3
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dsem/examples/index.js
@@ -0,0 +1,37 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var dsem = require( './../lib' );
+
+var opts = {
+ 'dtype': 'float64'
+};
+
+var xbuf = discreteUniform( 10, -50, 50, opts );
+var x = new ndarray( opts.dtype, xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
+
+var correction = scalar2ndarray( 1.0, opts );
+var v = dsem( [ x, correction ] );
+console.log( v );
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dsem/lib/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/dsem/lib/index.js
new file mode 100644
index 000000000000..6155a9f34aac
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dsem/lib/index.js
@@ -0,0 +1,55 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* Compute the standard error of the mean of a one-dimensional double-precision floating-point ndarray.
+*
+* @module @stdlib/stats/base/ndarray/dsem
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+* var dsem = require( '@stdlib/stats/base/ndarray/dsem' );
+*
+* var opts = {
+* 'dtype': 'float64'
+* };
+*
+* // Define a one-dimensional input ndarray:
+* var xbuf = new Float64Array( [ 1.0, -2.0, 2.0 ] );
+* var x = new ndarray( opts.dtype, xbuf, [ 3 ], [ 1 ], 0, 'row-major' );
+*
+* // Specify the degrees of freedom adjustment:
+* var correction = scalar2ndarray( 1.0, opts );
+*
+* // Compute the standard error of the mean:
+* var v = dsem( [ x, correction ] );
+* // returns ~1.20185
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dsem/lib/main.js b/lib/node_modules/@stdlib/stats/base/ndarray/dsem/lib/main.js
new file mode 100644
index 000000000000..18447dd964f5
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dsem/lib/main.js
@@ -0,0 +1,69 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
+var getStride = require( '@stdlib/ndarray/base/stride' );
+var getOffset = require( '@stdlib/ndarray/base/offset' );
+var getData = require( '@stdlib/ndarray/base/data-buffer' );
+var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
+var strided = require( '@stdlib/stats/strided/dsem' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Computes the standard error of the mean of a one-dimensional double-precision floating-point ndarray.
+*
+* @param {ArrayLikeObject