Forecasting: Principles and Practice
Welcome
1 Getting started
2 Time series graphics
3 The forecaster’s toolbox
4 Judgmental forecasts
5 Linear regression models
6 Time series decomposition
7 Exponential smoothing
8 ARIMA models
9 Dynamic regression models
10 Forecasting hierarchical or grouped time series
11 Advanced forecasting methods
12 Some practical forecasting issues
Using R
References
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Forecasting: Principles and Practice

Chapter 11 Advanced forecasting methods

In this chapter, we briefly discuss four more advanced forecasting methods that build on the models discussed in earlier chapters.