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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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@@ -1459,7 +1459,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dvariancewd',
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'@stdlib/stats/strided/dnanvariance',
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'@stdlib/stats/base/nanvariancewd',
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'@stdlib/stats/strided/nanvariancewd',
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'@stdlib/stats/base/snanvariancewd'
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]
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});

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

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@@ -296,7 +296,7 @@ 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/nanvariancewd',
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'@stdlib/stats/strided/nanvariancewd',
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'@stdlib/stats/base/nanstdev',
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'@stdlib/stats/base/snanstdevwd',
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'@stdlib/stats/strided/stdevwd'
@@ -374,8 +374,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.nanvariancewd',
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'path': '@stdlib/stats/base/nanvariancewd',
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'value': require( '@stdlib/stats/base/nanvariancewd' ),
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'path': '@stdlib/stats/strided/nanvariancewd',
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'value': require( '@stdlib/stats/strided/nanvariancewd' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dnanvariancewd',

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

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@@ -1431,7 +1431,7 @@ 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/nanvariancewd',
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'@stdlib/stats/strided/nanvariancewd',
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'@stdlib/stats/base/snanstdevwd',
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'@stdlib/stats/base/snanvariance',
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'@stdlib/stats/strided/svariancewd'

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

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@@ -87,7 +87,7 @@ ns.push({
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'type': 'Function',
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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/strided/nanvariancewd',
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'@stdlib/stats/strided/stdevwd',
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'@stdlib/stats/strided/variance'
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]

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

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@@ -33,7 +33,7 @@ The population [variance][variance] of a finite size population of size `N` is g
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```
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<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e50971c12e3bc534fe464a6f19ba362bb168c8e4/lib/node_modules/@stdlib/stats/base/nanvariancewd/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e50971c12e3bc534fe464a6f19ba362bb168c8e4/lib/node_modules/@stdlib/stats/strided/nanvariancewd/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
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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@e50971c12e3bc534fe464a6f19ba362bb168c8e4/lib/node_modules/@stdlib/stats/base/nanvariancewd/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@e50971c12e3bc534fe464a6f19ba362bb168c8e4/lib/node_modules/@stdlib/stats/strided/nanvariancewd/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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```
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<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e50971c12e3bc534fe464a6f19ba362bb168c8e4/lib/node_modules/@stdlib/stats/base/nanvariancewd/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e50971c12e3bc534fe464a6f19ba362bb168c8e4/lib/node_modules/@stdlib/stats/strided/nanvariancewd/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
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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@e50971c12e3bc534fe464a6f19ba362bb168c8e4/lib/node_modules/@stdlib/stats/base/nanvariancewd/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@e50971c12e3bc534fe464a6f19ba362bb168c8e4/lib/node_modules/@stdlib/stats/strided/nanvariancewd/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/nanvariancewd/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/nanvariancewd' ).ndarray;
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var strided = require( '@stdlib/stats/strided/nanvariancewd' ).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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@@ -76,7 +76,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`nanvariancech( N, correction, x, strideX )`][@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="signature">[`nanvariancepn( N, correction, x, strideX )`][@stdlib/stats/base/nanvariancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring `NaN` values and using a two-pass algorithm.</span>
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- <span class="signature">[`nanvariancetk( N, correction, x, strideX )`][@stdlib/stats/base/nanvariancetk]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring `NaN` values and using a one-pass textbook algorithm.</span>
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- <span class="signature">[`nanvariancewd( N, correction, x, strideX )`][@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="signature">[`nanvariancewd( N, correction, x, strideX )`][@stdlib/stats/strided/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="signature">[`nanvarianceyc( N, correction, x, strideX )`][@stdlib/stats/strided/nanvarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance 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">[`ndarray`][@stdlib/stats/base/ndarray]</span><span class="delimiter">: </span><span class="description">base ndarray statistical functions.</span>
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- <span class="signature">[`rangeBy( N, x, stride, clbk[, thisArg] )`][@stdlib/stats/strided/range-by]</span><span class="delimiter">: </span><span class="description">calculate the range of a strided array via a callback function.</span>
@@ -201,7 +201,7 @@ console.log( objectKeys( ns ) );
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[@stdlib/stats/base/nanvariancetk]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanvariancetk
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[@stdlib/stats/base/nanvariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanvariancewd
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[@stdlib/stats/strided/nanvariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanvariancewd
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[@stdlib/stats/strided/nanvarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanvarianceyc
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‎lib/node_modules/@stdlib/stats/base/nanstdevwd/README.md

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@@ -232,7 +232,7 @@ console.log( v );
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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>
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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/strided/nanvariancewd`][@stdlib/stats/strided/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/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>
@@ -261,7 +261,7 @@ 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/nanvariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanvariancewd
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[@stdlib/stats/strided/nanvariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanvariancewd
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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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‎lib/node_modules/@stdlib/stats/base/nanstdevwd/lib/ndarray.js

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// MODULES //
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var nanvariancewd = require( '@stdlib/stats/base/nanvariancewd' ).ndarray;
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var nanvariancewd = require( '@stdlib/stats/strided/nanvariancewd' ).ndarray;
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var sqrt = require( '@stdlib/math/base/special/sqrt' );
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‎lib/node_modules/@stdlib/stats/base/snanvariancewd/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/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/strided/nanvariancewd`][@stdlib/stats/strided/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/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/snanvariance`][@stdlib/stats/base/snanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring NaN values.</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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[@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/nanvariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanvariancewd
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[@stdlib/stats/strided/nanvariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanvariancewd
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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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