Tool interfaces in the web application and in the desktop application are identical, and differences in functionality are given in appropiate commments.
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