diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanvariance/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/snanvariance/README.md
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+
+
+# snanvariance
+
+> Compute the sample variance of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values.
+
+
+
+The **sample variance** of a set of values is defined as
+
+```math
+\sigma^2 = \frac{1}{n - c} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var snanvariance = require( '@stdlib/stats/base/ndarray/snanvariance' );
+```
+
+#### snanvariance( arrays, correction )
+
+Computes the sample variance of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values.
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+
+var xbuf = new Float32Array( [ 1.0, 2.0, NaN, 3.0 ] );
+var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+
+var v = snanvariance( [ x ], 1 );
+// returns 1.0
+```
+
+The function has the following parameters:
+
+- **arrays**: array-like object containing a one-dimensional input ndarray.
+- **correction**: degrees of freedom adjustment.
+
+
+
+
+
+
+
+## Notes
+
+- If provided an empty one-dimensional ndarray, the function returns `NaN`.
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var uniform = require( '@stdlib/random/base/uniform' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var snanvariance = require( '@stdlib/stats/base/ndarray/snanvariance' );
+
+function rand() {
+ if ( bernoulli( 0.8 ) < 1 ) {
+ return NaN;
+ }
+ return uniform( -50.0, 50.0 );
+}
+
+var xbuf = filledarrayBy( 10, 'float32', rand );
+var x = new ndarray( 'float32', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+
+console.log( ndarray2array( x ) );
+
+var v = snanvariance( [ x ], 1 );
+console.log( v );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanvariance/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/snanvariance/benchmark/benchmark.js
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@@ -0,0 +1,117 @@
+/**
+* @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/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var snanvariance = require( './../lib' );
+
+
+// FUNCTIONS //
+
+/**
+* Returns a random number.
+*
+* @private
+* @returns {number} random number or `NaN`
+*/
+function rand() {
+ if ( bernoulli( 0.8 ) < 1 ) {
+ return NaN;
+ }
+ return uniform( -10.0, 10.0 );
+}
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var xbuf;
+ var x;
+
+ xbuf = filledarrayBy( len, 'float32', rand );
+ x = new ndarray( 'float32', xbuf, [ len ], [ 1 ], 0, 'row-major' );
+
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var v;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = snanvariance( [ x ], 1 );
+ }
+ b.toc();
+
+ // NaN is allowed for variance:
+ if ( isnanf( v ) ) {
+ b.pass( 'returned NaN (allowed)' );
+ } else {
+ b.pass( 'returned a number' );
+ }
+ 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/snanvariance/docs/img/equation_arithmetic_mean.svg b/lib/node_modules/@stdlib/stats/base/ndarray/snanvariance/docs/img/equation_arithmetic_mean.svg
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+
\ No newline at end of file
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanvariance/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/ndarray/snanvariance/docs/repl.txt
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--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanvariance/docs/repl.txt
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+
+{{alias}}( arrays, correction )
+ Computes the sample variance of a one-dimensional ndarray, ignoring `NaN`
+ values.
+
+ If the number of non-NaN elements minus the correction is less than or equal
+ to zero, the function returns `NaN`.
+
+ Parameters
+ ----------
+ arrays: ArrayLikeObject
+ Array-like object containing a one-dimensional input ndarray.
+
+ correction: number
+ Degrees of freedom adjustment.
+
+ Returns
+ -------
+ out: number
+ Sample variance.
+
+ Examples
+ --------
+ > var xbuf = new {{alias:@stdlib/array/float32}}( [ 1.0, 2.0, NaN, 3.0 ] );
+ > var dt = 'float32';
+ > var sh = [ xbuf.length ];
+ > var sx = [ 1 ];
+ > var ox = 0;
+ > var ord = 'row-major';
+ > var x = new {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, sx, ox, ord );
+ > {{alias}}( [ x ], 1 )
+ 1
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanvariance/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/ndarray/snanvariance/docs/types/index.d.ts
new file mode 100644
index 000000000000..28576608364e
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanvariance/docs/types/index.d.ts
@@ -0,0 +1,50 @@
+/*
+* @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 { float32ndarray } from '@stdlib/types/ndarray';
+
+/**
+* Computes the sample variance of a one-dimensional ndarray, ignoring `NaN` values.
+*
+* @param arrays - array-like object containing an input ndarray
+* @param correction - degrees of freedom adjustment
+* @returns sample variance
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var xbuf = new Float32Array( [ 1.0, 2.0, NaN, 3.0 ] );
+* var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var v = snanvariance( [ x ], 1 );
+* // returns 1.0
+*/
+declare function snanvariance(
+ arrays: [ float32ndarray ],
+ correction: number
+): number;
+
+
+// EXPORTS //
+
+export = snanvariance;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanvariance/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/ndarray/snanvariance/docs/types/test.ts
new file mode 100644
index 000000000000..a83def5a9e1c
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanvariance/docs/types/test.ts
@@ -0,0 +1,60 @@
+/*
+* @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 snanvariance = require( './index' );
+
+
+// TESTS //
+
+// The function returns a number...
+{
+ const x = zeros( [ 10 ], {
+ 'dtype': 'float32'
+ });
+
+ snanvariance( [ x ], 1 ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+ snanvariance( '10', 1 ); // $ExpectError
+ snanvariance( 10, 1 ); // $ExpectError
+ snanvariance( true, 1 ); // $ExpectError
+ snanvariance( false, 1 ); // $ExpectError
+ snanvariance( null, 1 ); // $ExpectError
+ snanvariance( undefined, 1 ); // $ExpectError
+ snanvariance( [], 1 ); // $ExpectError
+ snanvariance( {}, 1 ); // $ExpectError
+ snanvariance( ( x: number ): number => x, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an invalid correction argument...
+{
+ const x = zeros( [ 10 ], {
+ 'dtype': 'float32'
+ });
+
+ snanvariance( [ x ] ); // $ExpectError
+ snanvariance( [ x ], '1' ); // $ExpectError
+ snanvariance( [ x ], {} ); // $ExpectError
+ snanvariance( [ x ], null ); // $ExpectError
+ snanvariance( [ x ], undefined ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanvariance/examples/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/snanvariance/examples/index.js
new file mode 100644
index 000000000000..f179e88b8aaf
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanvariance/examples/index.js
@@ -0,0 +1,43 @@
+/**
+* @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 uniform = require( '@stdlib/random/base/uniform' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var snanvariance = require( './../lib' );
+
+function rand() {
+ if ( bernoulli( 0.8 ) < 1 ) {
+ return NaN;
+ }
+ return uniform( -50.0, 50.0 );
+}
+
+var xbuf = filledarrayBy( 10, 'float32', rand );
+var x = new ndarray( 'float32', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+
+console.log( 'Input ndarray:' );
+console.log( ndarray2array( x ) );
+
+// Compute sample variance (correction = 1):
+var v = snanvariance( [ x ], 1 );
+console.log( 'Sample variance (ignoring NaNs):', v );
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanvariance/lib/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/snanvariance/lib/index.js
new file mode 100644
index 000000000000..2331d97db392
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanvariance/lib/index.js
@@ -0,0 +1,45 @@
+/**
+* @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 sample variance of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values.
+*
+* @module @stdlib/stats/base/ndarray/snanvariance
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var snanvariance = require( '@stdlib/stats/base/ndarray/snanvariance' );
+*
+* var xbuf = new Float32Array( [ 1.0, 2.0, NaN, 3.0 ] );
+* var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var v = snanvariance( [ x ], 1 );
+* // returns 1.0
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanvariance/lib/main.js b/lib/node_modules/@stdlib/stats/base/ndarray/snanvariance/lib/main.js
new file mode 100644
index 000000000000..162163207d46
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanvariance/lib/main.js
@@ -0,0 +1,97 @@
+/**
+* @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 isnan = require( '@stdlib/math/base/assert/is-nan' );
+
+
+// MAIN //
+
+/**
+* Computes the sample variance of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values.
+*
+* @param {ArrayLikeObject