Remove glossary
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@ -16,17 +16,17 @@ By decomposing the raw time series, all long-term patterns are assumed to be
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a potential trend and auto-correlations.
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The models in this family are:
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\begin{enumerate}
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\item \textit{\gls{fnaive}},
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\textit{\gls{pnaive}}:
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\item \textit{fnaive},
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\textit{pnaive}:
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Sum of STL's trend and seasonal components' na\"{i}ve forecasts
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\item \textit{\gls{vholt}},
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\textit{\gls{vses}}, and
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\textit{\gls{vtheta}}:
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\item \textit{vholt},
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\textit{vses}, and
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\textit{vtheta}:
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Exponential smoothing without calibration and seasonal
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fit
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\item \textit{\gls{vets}}:
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\item \textit{vets}:
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ETS calibrated as described by \cite{hyndman2008b}
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\item \textit{\gls{varima}}:
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\item \textit{varima}:
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ARIMA calibrated as described by \cite{hyndman2008a}
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\end{enumerate}
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As mentioned in Sub-section \ref{unified_cv}, we include the sum of the
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