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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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@@ -2049,7 +2049,7 @@ ns.push({
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'@stdlib/stats/strided/dstdev',
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'@stdlib/stats/strided/dvariancewd',
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'@stdlib/stats/base/sstdevwd',
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'@stdlib/stats/base/stdevwd'
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'@stdlib/stats/strided/stdevwd'
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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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@@ -299,7 +299,7 @@ ns.push({
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'@stdlib/stats/base/nanvariancewd',
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'@stdlib/stats/base/nanstdev',
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'@stdlib/stats/base/snanstdevwd',
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'@stdlib/stats/base/stdevwd'
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'@stdlib/stats/strided/stdevwd'
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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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@@ -1679,7 +1679,7 @@ ns.push({
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'@stdlib/stats/strided/dstdevwd',
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'@stdlib/stats/base/snanstdevwd',
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'@stdlib/stats/strided/sstdev',
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'@stdlib/stats/base/stdevwd',
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'@stdlib/stats/strided/stdevwd',
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'@stdlib/stats/strided/svariancewd'
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]
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});
@@ -1846,8 +1846,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.stdevwd',
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'path': '@stdlib/stats/base/stdevwd',
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'value': require( '@stdlib/stats/base/stdevwd' ),
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'path': '@stdlib/stats/strided/stdevwd',
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'value': require( '@stdlib/stats/strided/stdevwd' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dstdevwd',

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

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@@ -88,7 +88,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dvariancewd',
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'@stdlib/stats/base/nanvariancewd',
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'@stdlib/stats/base/stdevwd',
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'@stdlib/stats/strided/stdevwd',
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'@stdlib/stats/strided/variance'
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]
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});

‎lib/node_modules/@stdlib/stats/array/stdevwd/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@90512ed90d4af5fbbe76b3e88575682f8196ac54/lib/node_modules/@stdlib/stats/base/stdevwd/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@90512ed90d4af5fbbe76b3e88575682f8196ac54/lib/node_modules/@stdlib/stats/strided/stdevwd/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@90512ed90d4af5fbbe76b3e88575682f8196ac54/lib/node_modules/@stdlib/stats/base/stdevwd/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@90512ed90d4af5fbbe76b3e88575682f8196ac54/lib/node_modules/@stdlib/stats/strided/stdevwd/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@90512ed90d4af5fbbe76b3e88575682f8196ac54/lib/node_modules/@stdlib/stats/base/stdevwd/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@90512ed90d4af5fbbe76b3e88575682f8196ac54/lib/node_modules/@stdlib/stats/strided/stdevwd/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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```
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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@90512ed90d4af5fbbe76b3e88575682f8196ac54/lib/node_modules/@stdlib/stats/base/stdevwd/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@90512ed90d4af5fbbe76b3e88575682f8196ac54/lib/node_modules/@stdlib/stats/strided/stdevwd/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/stdevwd/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/stdevwd' ).ndarray;
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var strided = require( '@stdlib/stats/strided/stdevwd' ).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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@@ -105,7 +105,7 @@ The namespace contains the following statistical functions:
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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">[`stdevpn( N, correction, x, strideX )`][@stdlib/stats/base/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/base/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/base/stdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using Welford's 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>
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- <span class="signature">[`stdevyc( N, correction, x, stride )`][@stdlib/stats/strided/stdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
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- <span class="signature">[`variance( N, correction, x, strideX )`][@stdlib/stats/strided/variance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array.</span>
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- <span class="signature">[`variancech( N, correction, x, strideX )`][@stdlib/stats/strided/variancech]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using a one-pass trial mean algorithm.</span>
@@ -259,7 +259,7 @@ console.log( objectKeys( ns ) );
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[@stdlib/stats/base/stdevtk]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdevtk
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[@stdlib/stats/base/stdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdevwd
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[@stdlib/stats/strided/stdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/stdevwd
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[@stdlib/stats/strided/stdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/stdevyc
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‎lib/node_modules/@stdlib/stats/base/nanstdevwd/README.md

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@@ -235,7 +235,7 @@ console.log( v );
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- <span class="package-name">[`@stdlib/stats/base/nanvariancewd`][@stdlib/stats/base/nanvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring NaN values and using Welford's 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/snanstdevwd`][@stdlib/stats/base/snanstdevwd]</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 Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/stdevwd`][@stdlib/stats/base/stdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/stdevwd`][@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>
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</section>
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@@ -267,7 +267,7 @@ console.log( v );
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[@stdlib/stats/base/snanstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanstdevwd
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[@stdlib/stats/base/stdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdevwd
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[@stdlib/stats/strided/stdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/stdevwd
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/base/sstdevwd/README.md

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- <span class="package-name">[`@stdlib/stats/strided/dstdevwd`][@stdlib/stats/strided/dstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanstdevwd`][@stdlib/stats/base/snanstdevwd]</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 Welford's 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/stdevwd`][@stdlib/stats/base/stdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/stdevwd`][@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>
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- <span class="package-name">[`@stdlib/stats/strided/svariancewd`][@stdlib/stats/strided/svariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using Welford's 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/stdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdevwd
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[@stdlib/stats/strided/stdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/stdevwd
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[@stdlib/stats/strided/svariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svariancewd
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‎lib/node_modules/@stdlib/stats/strided/dstdevwd/README.md

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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/dvariancewd`][@stdlib/stats/strided/dvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/sstdevwd`][@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="package-name">[`@stdlib/stats/base/stdevwd`][@stdlib/stats/base/stdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/stdevwd`][@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>
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</section>
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[@stdlib/stats/base/sstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdevwd
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[@stdlib/stats/base/stdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdevwd
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[@stdlib/stats/strided/stdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/stdevwd
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<!-- </related-links> -->
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