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Minor update to covariance.rst
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doc/OnlineDocs/explanation/analysis/parmest/covariance.rst

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@@ -35,7 +35,7 @@ following methods which have been implemented in parmest.
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Where :math:`\boldsymbol{V}_{\boldsymbol{\theta}}` is the covariance matrix of the estimated
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parameters :math:`\hat{\boldsymbol{\theta}} \in \mathbb{R}^p`, :math:`\boldsymbol{y}_{i} \in \mathbb{R}^m` are
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observations of the measured output variables, :math:`\boldsymbol{f}` is the model function,
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observations of the measured variables, :math:`\boldsymbol{f}` is the model function,
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:math:`\boldsymbol{x}_{i} \in \mathbb{R}^{q}` are the input variables, :math:`n` is the number of experiments,
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:math:`\boldsymbol{\Sigma}_{\boldsymbol{y}}` is the measurement error covariance matrix, and :math:`\sigma^2`
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is the variance of the measurement error. When the standard deviation of the measurement error is not supplied

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