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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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@@ -1264,7 +1264,7 @@ ns.push({
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'@stdlib/stats/strided/dnanstdev',
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'@stdlib/stats/strided/dnanvariancech',
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'@stdlib/stats/strided/dstdevch',
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'@stdlib/stats/base/nanstdevch',
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'@stdlib/stats/strided/nanstdevch',
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'@stdlib/stats/base/snanstdevch'
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]
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});

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

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@@ -249,8 +249,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.nanstdevch',
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'path': '@stdlib/stats/base/nanstdevch',
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'value': require( '@stdlib/stats/base/nanstdevch' ),
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'path': '@stdlib/stats/strided/nanstdevch',
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'value': require( '@stdlib/stats/strided/nanstdevch' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dnanstdevch',
@@ -337,7 +337,7 @@ ns.push({
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dnanvariancech',
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'@stdlib/stats/base/nanstdevch',
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'@stdlib/stats/strided/nanstdevch',
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'@stdlib/stats/strided/nanvariance',
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'@stdlib/stats/base/snanvariancech',
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'@stdlib/stats/strided/variancech'

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

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@@ -1230,7 +1230,7 @@ ns.push({
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dnanstdevch',
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'@stdlib/stats/base/nanstdevch',
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'@stdlib/stats/strided/nanstdevch',
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'@stdlib/stats/base/snanstdev',
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'@stdlib/stats/base/snanvariancech',
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'@stdlib/stats/strided/sstdevch'
@@ -1808,7 +1808,7 @@ ns.push({
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'type': 'Function',
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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/strided/nanstdevch',
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'@stdlib/stats/strided/sstdevch',
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'@stdlib/stats/strided/stdev',
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'@stdlib/stats/strided/variancech'

‎lib/node_modules/@stdlib/stats/array/nanstdevch/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@e592576989e92b8def74a5fbac9109f3a81f16f9/lib/node_modules/@stdlib/stats/base/nanstdevch/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@e592576989e92b8def74a5fbac9109f3a81f16f9/lib/node_modules/@stdlib/stats/strided/nanstdevch/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@e592576989e92b8def74a5fbac9109f3a81f16f9/lib/node_modules/@stdlib/stats/base/nanstdevch/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
51+
<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e592576989e92b8def74a5fbac9109f3a81f16f9/lib/node_modules/@stdlib/stats/strided/nanstdevch/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@e592576989e92b8def74a5fbac9109f3a81f16f9/lib/node_modules/@stdlib/stats/base/nanstdevch/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@e592576989e92b8def74a5fbac9109f3a81f16f9/lib/node_modules/@stdlib/stats/strided/nanstdevch/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
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@e592576989e92b8def74a5fbac9109f3a81f16f9/lib/node_modules/@stdlib/stats/base/nanstdevch/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
81+
<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e592576989e92b8def74a5fbac9109f3a81f16f9/lib/node_modules/@stdlib/stats/strided/nanstdevch/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/nanstdevch/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/nanstdevch' ).ndarray;
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var strided = require( '@stdlib/stats/strided/nanstdevch' ).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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@@ -67,7 +67,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`nanrangeBy( N, x, stride, clbk[, thisArg] )`][@stdlib/stats/strided/nanrange-by]</span><span class="delimiter">: </span><span class="description">calculate the range of a strided array via a callback function, ignoring `NaN` values.</span>
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- <span class="signature">[`nanrange( N, x, strideX )`][@stdlib/stats/strided/nanrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a strided array, ignoring `NaN` values.</span>
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- <span class="signature">[`nanstdev( N, correction, x, strideX )`][@stdlib/stats/base/nanstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring `NaN` values.</span>
70-
- <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>
70+
- <span class="signature">[`nanstdevch( N, correction, x, stride )`][@stdlib/stats/strided/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/strided/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/strided/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>
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- <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>
@@ -183,7 +183,7 @@ console.log( objectKeys( ns ) );
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[@stdlib/stats/base/nanstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanstdev
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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/strided/nanstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanstdevch
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[@stdlib/stats/strided/nanstdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanstdevpn
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‎lib/node_modules/@stdlib/stats/base/snanstdevch/README.md

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## See Also
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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>
250-
- <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/strided/nanstdevch`][@stdlib/stats/strided/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>
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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>
@@ -278,7 +278,7 @@ console.log( v );
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[@stdlib/stats/strided/dnanstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanstdevch
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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/strided/nanstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanstdevch
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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/dnanstdevch/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/dnanvariancech`][@stdlib/stats/strided/dnanvariancech]</span><span class="delimiter">: </span><span class="description">calculate the variance 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/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/strided/nanstdevch`][@stdlib/stats/strided/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/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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</section>
@@ -399,7 +399,7 @@ int main( void ) {
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[@stdlib/stats/strided/dstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dstdevch
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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/strided/nanstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanstdevch
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[@stdlib/stats/base/snanstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanstdevch
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‎lib/node_modules/@stdlib/stats/strided/nanvariancech/README.md

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## See Also
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- <span class="package-name">[`@stdlib/stats/strided/dnanvariancech`][@stdlib/stats/strided/dnanvariancech]</span><span class="delimiter">: </span><span class="description">calculate the variance 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/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/strided/nanstdevch`][@stdlib/stats/strided/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/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/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/strided/variancech`][@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>
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[@stdlib/stats/strided/dnanvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanvariancech
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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/strided/nanstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanstdevch
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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/stdevch/README.md

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## See Also
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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/strided/nanstdevch`][@stdlib/stats/strided/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/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/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/variancech`][@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>
@@ -261,7 +261,7 @@ console.log( v );
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[@stdlib/stats/strided/dstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dstdevch
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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/strided/nanstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanstdevch
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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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