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Building forecasting models for time series data

Time series data have a natural ordering by time, and that order is relevant to the analysis of the data characteristics and the way they are used to forecast future events.


See JMP 12 videos on Time Series Analysis and Forecasting, posted on April 6, 2016.  See how to interactively build ARMA/ARIMA forecasting models following Box-Jenkins methodology and how to extract seasonal factors and long-term trends from raw time series data.


Advanced Mastering live webcasts are held on Thursday, several times a month.  Check the current list and register for any topics for which you have a background and interest.