Chapter 3: Time Series Decomposition

3/1  Principles of decomposition
3/1/1  Decomposition models
3/1/2  Decomposition graphics
3/1/3  Seasonal adjustment
3/2  Moving averages
3/2/1  Simple moving averages
3/2/2  Centered moving averages
3/2/3  Double moving averages
3/2/4  Weighted moving averages
3/3  Local regression smoothing
3/3/1  Loess
3/4  Classical decomposition
3/4/1  Additive decomposition
3/4/2  Multiplicative decomposition
3/4/3  Variations on classical decomposition
3/5  Census Bureau methods
3/5/1  First iteration
3/5/2  Later iterations
3/5/3  Extensions to X-12-ARIMA
3/6  STL decomposition
3/6/1  Inner loop
3/6/2  Outer loop
3/6/3  Choosing the STL parameters
3/6/4  Comparing STL with X-12-ARIMA
3/7  Forecasting and decomposition
References and selected bibliography
Exercises

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