The tool supports interface of Foresight Analytics Platform 9 or earlier.
Statistical methods are included in the group of methods that perform series transformations.
The following methods are available in the time series analysis tool:
Normalization. Normalizes series points: x[t]/σ(x), where σ is root mean square error of the series.
Standardization. Standardizes series points: (X[t]-M(X))/σ(X), where σ is root mean square error of the series, M is average of the series.
After the method is applied, in the workbook, based on each selected series, a calculated series is created. The series name format for the Normalization method is as follows: norm(<Series_Name>[t]), for the Standardization method it is std(<Series_Name>[t])». For example:
See also:
Working with Calculated Series | Modeling and Forecasting: Transformations on Variables or Factors