Time Series Analysis and Forecasting

Application Area:
Statistics, Predictive Modeling and Data Mining

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.

This webinar covers: overview of time series applications; ARIMA models; Box-Jenkins methodology; seasonal ARIMA models; transfer functions and X-11 decomposition models; and smoothing methods.

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