Introduction to Time Series Analysis Using IBM SPSS Modeler (v18.1.1), 0A028GCH
Introduction to time series analysisAutomatic forecasting with the Expert ModelerMeasuring model performanceTime series regressionExponential smoothing modelsARIMA modeling
This course gets you up and running with a set of procedures for analyzing time series data. Learn how to forecast using a variety of models, including regression, exponential smoothing, and ARIMA, which take into account different combinations of trend and seasonality. The Expert Modeler features will be covered, which is designed to automatically select the best fitting exponential smoothing or ARIMA model, but you will also learn how to specify your own custom models, and also how to identify ARIMA models yourself using a variety of diagnostic tools such as time plots and autocorrelation plots.