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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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@@ -2006,7 +2006,7 @@ ns.push({
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'@stdlib/stats/strided/dstdev',
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'@stdlib/stats/strided/dvariancech',
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'@stdlib/stats/strided/sstdevch',
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'@stdlib/stats/base/stdevch'
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'@stdlib/stats/strided/stdevch'
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]
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});
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‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/n.js

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@@ -257,7 +257,7 @@ ns.push({
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'@stdlib/stats/base/nanvariancech',
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'@stdlib/stats/base/nanstdev',
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'@stdlib/stats/base/snanstdevch',
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'@stdlib/stats/base/stdevch'
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'@stdlib/stats/strided/stdevch'
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]
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});
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‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/s.js

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@@ -1636,7 +1636,7 @@ ns.push({
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'@stdlib/stats/strided/dstdevch',
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'@stdlib/stats/base/snanstdevch',
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'@stdlib/stats/strided/sstdev',
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'@stdlib/stats/base/stdevch',
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'@stdlib/stats/strided/stdevch',
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'@stdlib/stats/strided/svariancech'
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]
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});
@@ -1803,8 +1803,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.stdevch',
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'path': '@stdlib/stats/base/stdevch',
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'value': require( '@stdlib/stats/base/stdevch' ),
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'path': '@stdlib/stats/strided/stdevch',
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'value': require( '@stdlib/stats/strided/stdevch' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dstdevch',

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

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@@ -48,7 +48,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dvariancech',
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'@stdlib/stats/base/nanvariancech',
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'@stdlib/stats/base/stdevch',
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'@stdlib/stats/strided/stdevch',
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'@stdlib/stats/strided/variance'
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]
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});

‎lib/node_modules/@stdlib/stats/array/stdevch/README.md

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@@ -33,7 +33,7 @@ The population [standard deviation][standard-deviation] of a finite size populat
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```
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<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@10c5eae557369a7da1da27a5f12a45b56e592834/lib/node_modules/@stdlib/stats/base/stdevch/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
36+
<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@10c5eae557369a7da1da27a5f12a45b56e592834/lib/node_modules/@stdlib/stats/strided/stdevch/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
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<br>
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</div> -->
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@@ -48,7 +48,7 @@ where the population mean is given by
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```
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<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@10c5eae557369a7da1da27a5f12a45b56e592834/lib/node_modules/@stdlib/stats/base/stdevch/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
51+
<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@10c5eae557369a7da1da27a5f12a45b56e592834/lib/node_modules/@stdlib/stats/strided/stdevch/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
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<br>
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</div> -->
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@@ -63,7 +63,7 @@ s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
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```
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<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@10c5eae557369a7da1da27a5f12a45b56e592834/lib/node_modules/@stdlib/stats/base/stdevch/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@10c5eae557369a7da1da27a5f12a45b56e592834/lib/node_modules/@stdlib/stats/strided/stdevch/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
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<br>
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</div> -->
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@@ -78,7 +78,7 @@ where the sample mean is given by
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```
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<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@10c5eae557369a7da1da27a5f12a45b56e592834/lib/node_modules/@stdlib/stats/base/stdevch/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
81+
<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@10c5eae557369a7da1da27a5f12a45b56e592834/lib/node_modules/@stdlib/stats/strided/stdevch/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
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<br>
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</div> -->
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‎lib/node_modules/@stdlib/stats/array/stdevch/lib/main.js

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@@ -26,7 +26,7 @@ var dtypes = require( '@stdlib/array/dtypes' );
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var dtype = require( '@stdlib/array/dtype' );
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var contains = require( '@stdlib/array/base/assert/contains' );
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var join = require( '@stdlib/array/base/join' );
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var strided = require( '@stdlib/stats/base/stdevch' ).ndarray;
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var strided = require( '@stdlib/stats/strided/stdevch' ).ndarray;
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var format = require( '@stdlib/string/format' );
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‎lib/node_modules/@stdlib/stats/base/README.md

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@@ -102,7 +102,7 @@ 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">[`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>
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- <span class="signature">[`stdev( N, correction, x, strideX )`][@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="signature">[`stdevch( N, correction, x, strideX )`][@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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- <span class="signature">[`stdevch( N, correction, x, strideX )`][@stdlib/stats/strided/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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- <span class="signature">[`stdevpn( N, correction, x, strideX )`][@stdlib/stats/strided/stdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a two-pass algorithm.</span>
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- <span class="signature">[`stdevtk( N, correction, x, stride )`][@stdlib/stats/strided/stdevtk]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass textbook algorithm.</span>
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- <span class="signature">[`stdevwd( N, correction, x, stride )`][@stdlib/stats/strided/stdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using Welford's algorithm.</span>
@@ -253,7 +253,7 @@ console.log( objectKeys( ns ) );
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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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256-
[@stdlib/stats/base/stdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdevch
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[@stdlib/stats/strided/stdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/stdevch
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[@stdlib/stats/strided/stdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/stdevpn
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‎lib/node_modules/@stdlib/stats/base/nanstdevch/README.md

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@@ -238,7 +238,7 @@ console.log( v );
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- <span class="package-name">[`@stdlib/stats/base/nanvariancech`][@stdlib/stats/base/nanvariancech]</span><span class="delimiter">: </span><span class="description">calculate the variance 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/nanstdev`][@stdlib/stats/base/nanstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanstdevch`][@stdlib/stats/base/snanstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation 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/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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- <span class="package-name">[`@stdlib/stats/strided/stdevch`][@stdlib/stats/strided/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>
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@@ -274,7 +274,7 @@ console.log( v );
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275275
[@stdlib/stats/base/snanstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanstdevch
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277-
[@stdlib/stats/base/stdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdevch
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[@stdlib/stats/strided/stdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/stdevch
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/strided/dstdevch/README.md

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@@ -356,7 +356,7 @@ int main( void ) {
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- <span class="package-name">[`@stdlib/stats/strided/dstdev`][@stdlib/stats/strided/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/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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- <span class="package-name">[`@stdlib/stats/strided/stdevch`][@stdlib/stats/strided/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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[@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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[@stdlib/stats/strided/stdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/stdevch
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/strided/sstdevch/README.md

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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/snanstdevch`][@stdlib/stats/base/snanstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation 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/strided/sstdev`][@stdlib/stats/strided/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="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>
358+
- <span class="package-name">[`@stdlib/stats/strided/stdevch`][@stdlib/stats/strided/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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- <span class="package-name">[`@stdlib/stats/strided/svariancech`][@stdlib/stats/strided/svariancech]</span><span class="delimiter">: </span><span class="description">calculate the variance 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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[@stdlib/stats/strided/sstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdev
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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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[@stdlib/stats/strided/stdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/stdevch
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[@stdlib/stats/strided/svariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svariancech
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