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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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@@ -1306,7 +1306,7 @@ ns.push({
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'@stdlib/stats/strided/dnanstdev',
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'@stdlib/stats/strided/dnanvariancewd',
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'@stdlib/stats/strided/dstdevwd',
1309-
'@stdlib/stats/base/nanstdevwd',
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'@stdlib/stats/strided/nanstdevwd',
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'@stdlib/stats/base/snanstdevwd'
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]
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});

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

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@@ -291,8 +291,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.nanstdevwd',
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'path': '@stdlib/stats/base/nanstdevwd',
295-
'value': require( '@stdlib/stats/base/nanstdevwd' ),
294+
'path': '@stdlib/stats/strided/nanstdevwd',
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'value': require( '@stdlib/stats/strided/nanstdevwd' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dnanstdevwd',
@@ -379,7 +379,7 @@ ns.push({
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dnanvariancewd',
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'@stdlib/stats/base/nanstdevwd',
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'@stdlib/stats/strided/nanstdevwd',
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'@stdlib/stats/strided/nanvariance',
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'@stdlib/stats/base/snanvariancewd',
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'@stdlib/stats/strided/variancewd'

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

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@@ -1272,7 +1272,7 @@ ns.push({
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dnanstdevwd',
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'@stdlib/stats/base/nanstdevwd',
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'@stdlib/stats/strided/nanstdevwd',
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'@stdlib/stats/base/snanstdev',
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'@stdlib/stats/base/snanvariancewd',
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'@stdlib/stats/base/sstdevwd'
@@ -1851,7 +1851,7 @@ ns.push({
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dstdevwd',
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'@stdlib/stats/base/nanstdevwd',
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'@stdlib/stats/strided/nanstdevwd',
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'@stdlib/stats/base/sstdevwd',
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'@stdlib/stats/strided/stdev',
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'@stdlib/stats/strided/variancewd'

‎lib/node_modules/@stdlib/stats/array/nanstdevwd/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@6ed5b63b6ce33d2915ce2862c86d55ae33cdb609/lib/node_modules/@stdlib/stats/base/nanstdevwd/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@6ed5b63b6ce33d2915ce2862c86d55ae33cdb609/lib/node_modules/@stdlib/stats/strided/nanstdevwd/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
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<br>
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</div> -->
3939

@@ -48,7 +48,7 @@ where the population mean is given by
4848
```
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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@6ed5b63b6ce33d2915ce2862c86d55ae33cdb609/lib/node_modules/@stdlib/stats/base/nanstdevwd/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
51+
<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6ed5b63b6ce33d2915ce2862c86d55ae33cdb609/lib/node_modules/@stdlib/stats/strided/nanstdevwd/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
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<br>
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</div> -->
5454

@@ -63,7 +63,7 @@ s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
6363
```
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6565
<!-- <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">
66-
<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6ed5b63b6ce33d2915ce2862c86d55ae33cdb609/lib/node_modules/@stdlib/stats/base/nanstdevwd/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
66+
<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6ed5b63b6ce33d2915ce2862c86d55ae33cdb609/lib/node_modules/@stdlib/stats/strided/nanstdevwd/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> -->
6969

@@ -78,7 +78,7 @@ where the sample mean is given by
7878
```
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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@6ed5b63b6ce33d2915ce2862c86d55ae33cdb609/lib/node_modules/@stdlib/stats/base/nanstdevwd/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
81+
<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6ed5b63b6ce33d2915ce2862c86d55ae33cdb609/lib/node_modules/@stdlib/stats/strided/nanstdevwd/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/nanstdevwd/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' );
29-
var strided = require( '@stdlib/stats/base/nanstdevwd' ).ndarray;
29+
var strided = require( '@stdlib/stats/strided/nanstdevwd' ).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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@@ -70,7 +70,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`nanstdevch( N, correction, x, stride )`][@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="signature">[`nanstdevpn( N, correction, x, strideX )`][@stdlib/stats/base/nanstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring `NaN` values and using a two-pass algorithm.</span>
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- <span class="signature">[`nanstdevtk( N, correction, x, stride )`][@stdlib/stats/base/nanstdevtk]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring `NaN` values and using a one-pass textbook algorithm.</span>
73-
- <span class="signature">[`nanstdevwd( N, correction, x, stride )`][@stdlib/stats/base/nanstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring `NaN` values and using Welford's algorithm.</span>
73+
- <span class="signature">[`nanstdevwd( N, correction, x, stride )`][@stdlib/stats/strided/nanstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring `NaN` values and using Welford's algorithm.</span>
7474
- <span class="signature">[`nanstdevyc( N, correction, x, strideX )`][@stdlib/stats/strided/nanstdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.</span>
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- <span class="signature">[`nanvariance( N, correction, x, strideX )`][@stdlib/stats/strided/nanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring `NaN` values.</span>
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- <span class="signature">[`nanvariancech( N, correction, x, strideX )`][@stdlib/stats/strided/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>
@@ -189,7 +189,7 @@ console.log( objectKeys( ns ) );
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190190
[@stdlib/stats/base/nanstdevtk]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanstdevtk
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192-
[@stdlib/stats/base/nanstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanstdevwd
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[@stdlib/stats/strided/nanstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanstdevwd
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[@stdlib/stats/strided/nanstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanstdevyc
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‎lib/node_modules/@stdlib/stats/base/snanstdevwd/README.md‎

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## See Also
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- <span class="package-name">[`@stdlib/stats/strided/dnanstdevwd`][@stdlib/stats/strided/dnanstdevwd]</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 Welford's algorithm.</span>
247-
- <span class="package-name">[`@stdlib/stats/base/nanstdevwd`][@stdlib/stats/base/nanstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values and using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/nanstdevwd`][@stdlib/stats/strided/nanstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values and using Welford's 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/snanvariancewd`][@stdlib/stats/base/snanvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance 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/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>
@@ -271,7 +271,7 @@ console.log( v );
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[@stdlib/stats/strided/dnanstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanstdevwd
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[@stdlib/stats/base/nanstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanstdevwd
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[@stdlib/stats/strided/nanstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanstdevwd
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[@stdlib/stats/base/snanstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanstdev
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‎lib/node_modules/@stdlib/stats/strided/dnanstdevwd/README.md‎

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- <span class="package-name">[`@stdlib/stats/strided/dnanstdev`][@stdlib/stats/strided/dnanstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/strided/dnanvariancewd`][@stdlib/stats/strided/dnanvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-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/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>
366-
- <span class="package-name">[`@stdlib/stats/base/nanstdevwd`][@stdlib/stats/base/nanstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values and using Welford's algorithm.</span>
366+
- <span class="package-name">[`@stdlib/stats/strided/nanstdevwd`][@stdlib/stats/strided/nanstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values and 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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</section>
@@ -392,7 +392,7 @@ int main( void ) {
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[@stdlib/stats/strided/dstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dstdevwd
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[@stdlib/stats/base/nanstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanstdevwd
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[@stdlib/stats/strided/nanstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanstdevwd
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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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‎lib/node_modules/@stdlib/stats/strided/nanvariancewd/README.md‎

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## See Also
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- <span class="package-name">[`@stdlib/stats/strided/dnanvariancewd`][@stdlib/stats/strided/dnanvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-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/nanstdevwd`][@stdlib/stats/base/nanstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values and using Welford's algorithm.</span>
235+
- <span class="package-name">[`@stdlib/stats/strided/nanstdevwd`][@stdlib/stats/strided/nanstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values and using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/nanvariance`][@stdlib/stats/strided/nanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanvariancewd`][@stdlib/stats/base/snanvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance 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/variancewd`][@stdlib/stats/strided/variancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using Welford's algorithm.</span>
@@ -261,7 +261,7 @@ console.log( v );
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[@stdlib/stats/strided/dnanvariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanvariancewd
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[@stdlib/stats/base/nanstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanstdevwd
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[@stdlib/stats/strided/nanstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanstdevwd
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[@stdlib/stats/strided/nanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanvariance
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‎lib/node_modules/@stdlib/stats/strided/stdevwd/README.md‎

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## See Also
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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>
228-
- <span class="package-name">[`@stdlib/stats/base/nanstdevwd`][@stdlib/stats/base/nanstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values and using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/nanstdevwd`][@stdlib/stats/strided/nanstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values and 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/strided/stdev`][@stdlib/stats/strided/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/strided/variancewd`][@stdlib/stats/strided/variancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using Welford's algorithm.</span>
@@ -254,7 +254,7 @@ console.log( v );
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[@stdlib/stats/strided/dstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dstdevwd
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[@stdlib/stats/base/nanstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanstdevwd
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[@stdlib/stats/strided/nanstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanstdevwd
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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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