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refactor: update paths
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‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/d.js

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@@ -2005,7 +2005,7 @@ ns.push({
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'@stdlib/stats/strided/dnanstdevch',
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'@stdlib/stats/base/dstdev',
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'@stdlib/stats/strided/dvariancech',
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'@stdlib/stats/base/sstdevch',
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'@stdlib/stats/strided/sstdevch',
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'@stdlib/stats/base/stdevch'
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]
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});

‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/s.js

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@@ -1233,7 +1233,7 @@ ns.push({
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'@stdlib/stats/base/nanstdevch',
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'@stdlib/stats/base/snanstdev',
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'@stdlib/stats/base/snanvariancech',
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'@stdlib/stats/base/sstdevch'
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'@stdlib/stats/strided/sstdevch'
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]
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});
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@@ -1629,8 +1629,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.sstdevch',
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'path': '@stdlib/stats/base/sstdevch',
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'value': require( '@stdlib/stats/base/sstdevch' ),
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'path': '@stdlib/stats/strided/sstdevch',
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'value': require( '@stdlib/stats/strided/sstdevch' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dstdevch',
@@ -1809,7 +1809,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dstdevch',
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'@stdlib/stats/base/nanstdevch',
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'@stdlib/stats/base/sstdevch',
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'@stdlib/stats/strided/sstdevch',
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'@stdlib/stats/base/stdev',
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'@stdlib/stats/base/variancech'
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]
@@ -1912,7 +1912,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dvariancech',
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'@stdlib/stats/base/snanvariancech',
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'@stdlib/stats/base/sstdevch',
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'@stdlib/stats/strided/sstdevch',
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'@stdlib/stats/base/svariance',
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'@stdlib/stats/base/variancech'
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]

‎lib/node_modules/@stdlib/stats/base/README.md

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@@ -226,7 +226,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`snanvarianceyc( N, correction, x, stride )`][@stdlib/stats/base/snanvarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.</span>
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- <span class="signature">[`srange( N, x, strideX )`][@stdlib/stats/strided/srange]</span><span class="delimiter">: </span><span class="description">calculate the range of a single-precision floating-point strided array.</span>
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- <span class="signature">[`sstdev( N, correction, x, stride )`][@stdlib/stats/base/sstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array.</span>
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- <span class="signature">[`sstdevch( N, correction, x, strideX )`][@stdlib/stats/base/sstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.</span>
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- <span class="signature">[`sstdevch( N, correction, x, strideX )`][@stdlib/stats/strided/sstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.</span>
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- <span class="signature">[`sstdevpn( N, correction, x, strideX )`][@stdlib/stats/base/sstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.</span>
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- <span class="signature">[`sstdevtk( N, correction, x, strideX )`][@stdlib/stats/base/sstdevtk]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass textbook algorithm.</span>
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- <span class="signature">[`sstdevwd( N, correction, x, stride )`][@stdlib/stats/base/sstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using Welford's algorithm.</span>
@@ -637,7 +637,7 @@ console.log( objectKeys( ns ) );
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[@stdlib/stats/base/sstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdev
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[@stdlib/stats/base/sstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdevch
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[@stdlib/stats/strided/sstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdevch
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[@stdlib/stats/base/sstdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdevpn
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‎lib/node_modules/@stdlib/stats/base/snanstdevch/README.md

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@@ -250,7 +250,7 @@ console.log( v );
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- <span class="package-name">[`@stdlib/stats/base/nanstdevch`][@stdlib/stats/base/nanstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values and using a one-pass trial mean algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanstdev`][@stdlib/stats/base/snanstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanvariancech`][@stdlib/stats/base/snanvariancech]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.</span>
253-
- <span class="package-name">[`@stdlib/stats/base/sstdevch`][@stdlib/stats/base/sstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/sstdevch`][@stdlib/stats/strided/sstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.</span>
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</section>
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@@ -284,7 +284,7 @@ console.log( v );
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[@stdlib/stats/base/snanvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanvariancech
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[@stdlib/stats/base/sstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdevch
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[@stdlib/stats/strided/sstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdevch
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/base/stdevch/README.md

+3-3
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@@ -183,7 +183,7 @@ var v = stdevch.ndarray( N, 1, x, 2, 1 );
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- If `N <= 0`, both functions return `NaN`.
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- If `N - c` is less than or equal to `0` (where `c` corresponds to the provided degrees of freedom adjustment), both functions return `NaN`.
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- The underlying algorithm is a specialized case of Neely's two-pass algorithm. As the standard deviation is invariant with respect to changes in the location parameter, the underlying algorithm uses the first strided array element as a trial mean to shift subsequent data values and thus mitigate catastrophic cancellation. Accordingly, the algorithm's accuracy is best when data is **unordered** (i.e., the data is **not** sorted in either ascending or descending order such that the first value is an "extreme" value).
186-
- Depending on the environment, the typed versions ([`dstdevch`][@stdlib/stats/strided/dstdevch], [`sstdevch`][@stdlib/stats/base/sstdevch], etc.) are likely to be significantly more performant.
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- Depending on the environment, the typed versions ([`dstdevch`][@stdlib/stats/strided/dstdevch], [`sstdevch`][@stdlib/stats/strided/sstdevch], etc.) are likely to be significantly more performant.
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</section>
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@@ -243,7 +243,7 @@ console.log( v );
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- <span class="package-name">[`@stdlib/stats/strided/dstdevch`][@stdlib/stats/strided/dstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using a one-pass trial mean algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/nanstdevch`][@stdlib/stats/base/nanstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values and using a one-pass trial mean algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/sstdevch`][@stdlib/stats/base/sstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/sstdevch`][@stdlib/stats/strided/sstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/stdev`][@stdlib/stats/base/stdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array.</span>
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- <span class="package-name">[`@stdlib/stats/base/variancech`][@stdlib/stats/base/variancech]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using a one-pass trial mean algorithm.</span>
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@@ -275,7 +275,7 @@ console.log( v );
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[@stdlib/stats/base/nanstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanstdevch
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[@stdlib/stats/base/sstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdevch
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[@stdlib/stats/strided/sstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdevch
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[@stdlib/stats/base/stdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdev
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‎lib/node_modules/@stdlib/stats/base/svariancech/README.md

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@@ -354,7 +354,7 @@ int main( void ) {
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- <span class="package-name">[`@stdlib/stats/strided/dvariancech`][@stdlib/stats/strided/dvariancech]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array using a one-pass trial mean algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanvariancech`][@stdlib/stats/base/snanvariancech]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/sstdevch`][@stdlib/stats/base/sstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/sstdevch`][@stdlib/stats/strided/sstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/svariance`][@stdlib/stats/base/svariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/stats/base/variancech`][@stdlib/stats/base/variancech]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using a one-pass trial mean algorithm.</span>
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[@stdlib/stats/base/snanvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanvariancech
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[@stdlib/stats/base/sstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdevch
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[@stdlib/stats/strided/sstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdevch
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[@stdlib/stats/base/svariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/svariance
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‎lib/node_modules/@stdlib/stats/strided/dstdevch/README.md

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@@ -355,7 +355,7 @@ int main( void ) {
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- <span class="package-name">[`@stdlib/stats/strided/dnanstdevch`][@stdlib/stats/strided/dnanstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/dstdev`][@stdlib/stats/base/dstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/stats/strided/dvariancech`][@stdlib/stats/strided/dvariancech]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array using a one-pass trial mean algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/sstdevch`][@stdlib/stats/base/sstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/sstdevch`][@stdlib/stats/strided/sstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/stdevch`][@stdlib/stats/base/stdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass trial mean algorithm.</span>
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</section>
@@ -388,7 +388,7 @@ int main( void ) {
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[@stdlib/stats/strided/dvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dvariancech
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[@stdlib/stats/base/sstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdevch
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[@stdlib/stats/strided/sstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdevch
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[@stdlib/stats/base/stdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdevch
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