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‎lib/node_modules/@stdlib/stats/incr/covariance/README.md‎

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@@ -29,7 +29,7 @@ For unknown population means, the [unbiased sample covariance][covariance] is de
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<!-- <equation class="equation" label="eq:unbiased_sample_covariance_unknown_means" align="center" raw="\operatorname{cov_n} = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x}_n)(y_i - \bar{y}_n)" alt="Equation for the unbiased sample covariance for unknown population means."> -->
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<div class="equation" align="center" data-raw-text="\operatorname{cov_n} = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x}_n)(y_i - \bar{y}_n)" data-equation="eq:unbiased_sample_covariance_unknown_means">
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<img src="" alt="Equation for the unbiased sample covariance for unknown population means.">
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<img src="https://cdn.rawgit.com/stdlib-js/stdlib/49d8cabda84033d55d7b8069f19ee3dd8b8d1496/lib/node_modules/@stdlib/stats/incr/covariance/docs/img/equation_unbiased_sample_covariance_unknown_means.svg" alt="Equation for the unbiased sample covariance for unknown population means.">
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<!-- <equation class="equation" label="eq:unbiased_sample_covariance_known_means" align="center" raw="\operatorname{cov_n} = \frac{1}{n} \sum_{i=0}^{n-1} (x_i - \bar{x})(y_i - \bar{y})" alt="Equation for the unbiased sample covariance for known population means."> -->
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<div class="equation" align="center" data-raw-text="\operatorname{cov_n} = \frac{1}{n} \sum_{i=0}^{n-1} (x_i - \bar{x})(y_i - \bar{y})" data-equation="eq:unbiased_sample_covariance_known_means">
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<img src="" alt="Equation for the unbiased sample covariance for known population means.">
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<img src="https://cdn.rawgit.com/stdlib-js/stdlib/49d8cabda84033d55d7b8069f19ee3dd8b8d1496/lib/node_modules/@stdlib/stats/incr/covariance/docs/img/equation_unbiased_sample_covariance_known_means.svg" alt="Equation for the unbiased sample covariance for known population means.">
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‎lib/node_modules/@stdlib/stats/incr/covmat/README.md‎

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@@ -29,7 +29,7 @@ A [covariance matrix][covariance-matrix] is an M-by-M matrix whose elements spec
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<!-- <equation class="equation" label="eq:unbiased_sample_covariance_unknown_means" align="center" raw="\operatorname{cov_{jkn}} = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_{ij} - \bar{x}_{jn})(x_{ik} - \bar{x}_{kn})" alt="Equation for the unbiased sample covariance for unknown population means."> -->
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<div class="equation" align="center" data-raw-text="\operatorname{cov_{jkn}} = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_{ij} - \bar{x}_{jn})(x_{ik} - \bar{x}_{kn})" data-equation="eq:unbiased_sample_covariance_unknown_means">
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<img src="" alt="Equation for the unbiased sample covariance for unknown population means.">
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<img src="https://cdn.rawgit.com/stdlib-js/stdlib/49d8cabda84033d55d7b8069f19ee3dd8b8d1496/lib/node_modules/@stdlib/stats/incr/covmat/docs/img/equation_unbiased_sample_covariance_unknown_means.svg" alt="Equation for the unbiased sample covariance for unknown population means.">
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<!-- <equation class="equation" label="eq:unbiased_sample_covariance_known_means" align="center" raw="\operatorname{cov_{jkn}} = \frac{1}{n} \sum_{i=0}^{n-1} (x_{ij} - \bar{x}_{j})(x_{ik} - \bar{x}_{k})" alt="Equation for the unbiased sample covariance for known population means."> -->
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<div class="equation" align="center" data-raw-text="\operatorname{cov_{jkn}} = \frac{1}{n} \sum_{i=0}^{n-1} (x_{ij} - \bar{x}_{j})(x_{ik} - \bar{x}_{k})" data-equation="eq:unbiased_sample_covariance_known_means">
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<img src="" alt="Equation for the unbiased sample covariance for known population means.">
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<img src="https://cdn.rawgit.com/stdlib-js/stdlib/49d8cabda84033d55d7b8069f19ee3dd8b8d1496/lib/node_modules/@stdlib/stats/incr/covmat/docs/img/equation_unbiased_sample_covariance_known_means.svg" alt="Equation for the unbiased sample covariance for known population means.">
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‎lib/node_modules/@stdlib/stats/incr/ewmean/README.md‎

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<!-- <equation class="equation" label="eq:exponentially_weighted_mean" align="center" raw="\mu_t = \begin{cases} x_0 & \textrm{if}\ t = 0 \\ \alpha x_t + (1-\alpha) \mu_{t-1} & \textrm{if}\ t > 1 \end{cases}" alt="Recursive definition for computing an exponentially weighted mean."> -->
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<div class="equation" align="center" data-raw-text="\mu_t = \begin{cases} x_0 &amp; \textrm{if}\ t = 0 \\ \alpha x_t + (1-\alpha) \mu_{t-1} &amp; \textrm{if}\ t &gt; 1 \end{cases}" data-equation="eq:exponentially_weighted_mean">
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<img src="https://cdn.rawgit.com/stdlib-js/stdlib/7e0a95722efd9c771b129597380c63dc6715508b/lib/node_modules/@stdlib/stats/incr/ewmean/docs/img/equation_exponentially-weighted-mean.svg" alt="Recursive definition for computing an exponentially weighted mean.">
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<img src="https://cdn.rawgit.com/stdlib-js/stdlib/49d8cabda84033d55d7b8069f19ee3dd8b8d1496/lib/node_modules/@stdlib/stats/incr/ewmean/docs/img/equation_exponentially_weighted_mean.svg" alt="Recursive definition for computing an exponentially weighted mean.">
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‎lib/node_modules/@stdlib/stats/incr/gmean/README.md‎

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<!-- <equation class="equation" label="eq:geometric_mean" align="center" raw="\biggl( \prod_{i=0}^{n-1} \biggr)^{\frac{1}{n}} = \sqrt[n]{x_0 x_1 \cdots x_{n-1}}" alt="Equation for the geometric mean."> -->
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<div class="equation" align="center" data-raw-text="\biggl( \prod_{i=0}^{n-1} \biggr)^{\frac{1}{n}} = \sqrt[n]{x_0 x_1 \cdots x_{n-1}}" data-equation="eq:geometric_mean">
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<img src="https://cdn.rawgit.com/stdlib-js/stdlib/cb802bd5cb07ef925c8a3ce9c34db0fb68040d12/lib/node_modules/@stdlib/stats/incr/gmean/docs/img/equation_geometric_mean.svg" alt="Equation for the geometric mean.">
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<img src="https://cdn.rawgit.com/stdlib-js/stdlib/49d8cabda84033d55d7b8069f19ee3dd8b8d1496/lib/node_modules/@stdlib/stats/incr/gmean/docs/img/equation_geometric_mean.svg" alt="Equation for the geometric mean.">
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‎lib/node_modules/@stdlib/stats/incr/hmean/README.md‎

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<!-- <equation class="equation" label="eq:harmonic_mean" align="center" raw="H = \begin{align}H &= \frac{n}{\frac{1}{x_0} + \frac{1}{x_1} + \cdots + \frac{1}{x_{n-1}}} \\ &= \frac{n}{\sum_{i=0}^{n-1} \frac{1}{x_i}} \\ &= \biggl( \frac{\sum_{i=0}^{n-1} \frac{1}{x_i}}{n} \biggr)^{-1}\end{align}" alt="Equation for the harmonic mean."> -->
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<div class="equation" align="center" data-raw-text="H = \begin{align}H &amp;= \frac{n}{\frac{1}{x_0} + \frac{1}{x_1} + \cdots + \frac{1}{x_{n-1}}} \\ &amp;= \frac{n}{\sum_{i=0}^{n-1} \frac{1}{x_i}} \\ &amp;= \biggl( \frac{\sum_{i=0}^{n-1} \frac{1}{x_i}}{n} \biggr)^{-1}\end{align}" data-equation="eq:harmonic_mean">
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<img src="https://cdn.rawgit.com/stdlib-js/stdlib/7e0a95722efd9c771b129597380c63dc6715508b/lib/node_modules/@stdlib/stats/incr/hmean/docs/img/equation_harmonic-mean.svg" alt="Equation for the harmonic mean.">
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<img src="https://cdn.rawgit.com/stdlib-js/stdlib/49d8cabda84033d55d7b8069f19ee3dd8b8d1496/lib/node_modules/@stdlib/stats/incr/hmean/docs/img/equation_harmonic_mean.svg" alt="Equation for the harmonic mean.">
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‎lib/node_modules/@stdlib/stats/incr/kurtosis/README.md‎

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<!-- <equation class="equation" label="eq:kurtosis" align="center" raw="\operatorname{Kurtosis}[X] = \mathrm{E}\biggl[ \biggl( \frac{X - \mu}{\sigma} \biggr)^4 \biggr]" alt="Equation for the kurtosis."> -->
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<div class="equation" align="center" data-raw-text="\operatorname{Kurtosis}[X] = \mathrm{E}\biggl[ \biggl( \frac{X - \mu}{\sigma} \biggr)^4 \biggr]" data-equation="eq:kurtosis">
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<img src="" alt="Equation for the kurtosis.">
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<img src="https://cdn.rawgit.com/stdlib-js/stdlib/49d8cabda84033d55d7b8069f19ee3dd8b8d1496/lib/node_modules/@stdlib/stats/incr/kurtosis/docs/img/equation_kurtosis.svg" alt="Equation for the kurtosis.">
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<!-- <equation class="equation" label="eq:sample_excess_kurtosis" align="center" raw="g_2 = \frac{m_4}{m_2^2} - 3 = \frac{\frac{1}{n} \sum_{i=0}^{n-1} (x_i - \bar{x})^4}{\biggl(\frac{1}{n} \sum_{i=0}^{n-1} (x_i - \bar{x})^2\biggr)^2}" alt="Equation for the sample excess kurtosis."> -->
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<div class="equation" align="center" data-raw-text="g_2 = \frac{m_4}{m_2^2} - 3 = \frac{\frac{1}{n} \sum_{i=0}^{n-1} (x_i - \bar{x})^4}{\biggl(\frac{1}{n} \sum_{i=0}^{n-1} (x_i - \bar{x})^2\biggr)^2}" data-equation="eq:sample_excess_kurtosis">
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<img src="" alt="Equation for the sample excess kurtosis.">
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<img src="https://cdn.rawgit.com/stdlib-js/stdlib/49d8cabda84033d55d7b8069f19ee3dd8b8d1496/lib/node_modules/@stdlib/stats/incr/kurtosis/docs/img/equation_sample_excess_kurtosis.svg" alt="Equation for the sample excess kurtosis.">
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<!-- <equation class="equation" label="eq:corrected_sample_excess_kurtosis" align="center" raw="G_2 = \frac{(n+1)n}{(n-1)(n-2)(n-3)} \frac{\sum_{i=0}^{n-1} (x_i - \bar{x})^4}{\biggl(\sum_{i=0}^{n-1} (x_i - \bar{x})^2\biggr)^2} - 3 \frac{(n-1)^2}{(n-2)(n-3)}" alt="Equation for the corrected sample excess kurtosis."> -->
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<div class="equation" align="center" data-raw-text="G_2 = \frac{(n+1)n}{(n-1)(n-2)(n-3)} \frac{\sum_{i=0}^{n-1} (x_i - \bar{x})^4}{\biggl(\sum_{i=0}^{n-1} (x_i - \bar{x})^2\biggr)^2} - 3 \frac{(n-1)^2}{(n-2)(n-3)}" data-equation="eq:corrected_sample_excess_kurtosis">
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<img src="" alt="Equation for the corrected sample excess kurtosis.">
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<img src="https://cdn.rawgit.com/stdlib-js/stdlib/49d8cabda84033d55d7b8069f19ee3dd8b8d1496/lib/node_modules/@stdlib/stats/incr/kurtosis/docs/img/equation_corrected_sample_excess_kurtosis.svg" alt="Equation for the corrected sample excess kurtosis.">
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‎lib/node_modules/@stdlib/stats/incr/mae/README.md‎

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<!-- <equation class="equation" label="eq:mean_absolute_error" align="center" raw="\operatorname{MAE} = \frac{\sum_{i=0}^{n-1} |y_i - x_i|}{n}" alt="Equation for the mean absolute error."> -->
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<div class="equation" align="center" data-raw-text="\operatorname{MAE} = \frac{\sum_{i=0}^{n-1} |y_i - x_i|}{n}" data-equation="eq:mean_absolute_error">
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<img src="TODO" alt="Equation for the mean absolute error.">
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<img src="https://cdn.rawgit.com/stdlib-js/stdlib/49d8cabda84033d55d7b8069f19ee3dd8b8d1496/lib/node_modules/@stdlib/stats/incr/mae/docs/img/equation_mean_absolute_error.svg" alt="Equation for the mean absolute error.">
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‎lib/node_modules/@stdlib/stats/incr/mcovariance/README.md‎

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<!-- <equation class="equation" label="eq:unbiased_sample_covariance_unknown_means" align="center" raw="\operatorname{cov_n} = \frac{1}{n-1} \sum_{i=j}^{j+W-1} (x_i - \bar{x}_n)(y_i - \bar{y}_n)" alt="Equation for the unbiased sample covariance for unknown population means."> -->
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<div class="equation" align="center" data-raw-text="\operatorname{cov_n} = \frac{1}{n-1} \sum_{i=j}^{j+W-1} (x_i - \bar{x}_n)(y_i - \bar{y}_n)" data-equation="eq:unbiased_sample_covariance_unknown_means">
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<img src="" alt="Equation for the unbiased sample covariance for unknown population means.">
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<img src="https://cdn.rawgit.com/stdlib-js/stdlib/49d8cabda84033d55d7b8069f19ee3dd8b8d1496/lib/node_modules/@stdlib/stats/incr/mcovariance/docs/img/equation_unbiased_sample_covariance_unknown_means.svg" alt="Equation for the unbiased sample covariance for unknown population means.">
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<!-- <equation class="equation" label="eq:unbiased_sample_covariance_known_means" align="center" raw="\operatorname{cov_n} = \frac{1}{n} \sum_{i=j}^{j+W-1} (x_i - \bar{x})(y_i - \bar{y})" alt="Equation for the unbiased sample covariance for known population means."> -->
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<div class="equation" align="center" data-raw-text="\operatorname{cov_n} = \frac{1}{n} \sum_{i=j}^{j+W-1} (x_i - \bar{x})(y_i - \bar{y})" data-equation="eq:unbiased_sample_covariance_known_means">
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<img src="" alt="Equation for the unbiased sample covariance for known population means.">
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<img src="https://cdn.rawgit.com/stdlib-js/stdlib/49d8cabda84033d55d7b8069f19ee3dd8b8d1496/lib/node_modules/@stdlib/stats/incr/mcovariance/docs/img/equation_unbiased_sample_covariance_known_means.svg" alt="Equation for the unbiased sample covariance for known population means.">
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‎lib/node_modules/@stdlib/stats/incr/mean/README.md‎

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<!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
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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:arithmetic_mean">
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<img src="TODO" alt="Equation for the arithmetic mean.">
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<img src="https://cdn.rawgit.com/stdlib-js/stdlib/49d8cabda84033d55d7b8069f19ee3dd8b8d1496/lib/node_modules/@stdlib/stats/incr/mean/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
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‎lib/node_modules/@stdlib/stats/incr/meanabs/README.md‎

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<!-- <equation class="equation" label="eq:arithmetic_mean_absolute_values" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} |x_i|" alt="Equation for the arithmetic mean of absolute values."> -->
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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:arithmetic_mean_absolute_values">
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<img src="TODO" alt="Equation for the arithmetic mean of absolute values.">
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<img src="https://cdn.rawgit.com/stdlib-js/stdlib/49d8cabda84033d55d7b8069f19ee3dd8b8d1496/lib/node_modules/@stdlib/stats/incr/meanabs/docs/img/equation_arithmetic_mean_absolute_values.svg" alt="Equation for the arithmetic mean of absolute values.">
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