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  <data name="AlphaHelp" xml:space="preserve">
    <value>alpha is the adaption parameter of the intercept (or baseline) coefficient in the Holt-Winters forecasting algorithm.
alpha must lie between 0 and 1.
A value closer to 1 means that more recent observations carry greater weight in predicting the baseline component of the forecast.
A value closer to 0 means that past history carries greater weight in predicting the baseline component.</value>
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  <data name="BetaHelp" xml:space="preserve">
    <value>beta is the adaption parameter of the slope (or linear trend) coefficient in the Holt-Winters forecasting algorithm.
beta must lie between 0 and 1 and plays the same role as alpha with respect to the predicted linear trend.</value>
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  <data name="DeltaNegHelp" xml:space="preserve">
    <value>Alter the deviation scaling factor for the lower bound of the confidence band used internally to calculate violations.
The default value is 2.</value>
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  <data name="DeltaPosHelp" xml:space="preserve">
    <value>Alter the deviation scaling factor for the upper bound of the confidence band used internally to calculate violations.
The default value is 2.</value>
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    <value>gamma is the adaption parameter in the exponential smoothing update of the seasonal deviations.
It must lie between 0 and 1.
Note that because there is one seasonal deviation for each time point during the seasonal cycle, the adaptation rate is much slower than the baseline.
Each seasonal coefficient is only updated (or adapts) when the observed value occurs at the offset in the seasonal cycle corresponding to that coefficient.</value>
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    <value>gamma is the adaption parameter of the seasonal coefficients in the Holt-Winters forecasting algorithm.
It must lie between 0 and 1.
Note that because there is one seasonal coefficient for each time point during the seasonal cycle, the adaptation rate is much slower than the baseline.
Each seasonal coefficient is only updated (or adapts) when the observed value occurs at the offset in the seasonal cycle corresponding to that coefficient.</value>
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    <value>threshold is the minimum number of violations (observed values outside the confidence bounds) within a window that constitutes a failure.
The default value is 7.</value>
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    <value>window length is the number of time points in the window.
Specify an integer greater than or equal to the threshold and less than or equal to 28.
The time interval this window represents depends on the interval between primary data points.
The default value is 9.</value>
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