Forecasting: Principles and Practice
Preface
1 Getting started
2 Time series graphics
3 Time series decomposition
4 Time series features
5 The forecaster’s toolbox
6 Judgmental forecasts
7 Time series regression models
8 Exponential smoothing
9 ARIMA models
10 Dynamic regression models
11 Forecasting hierarchical and grouped time series
12 Advanced forecasting methods
13 Some practical forecasting issues
Appendix: Using R
Appendix: For instructors
Appendix: Reviews
Translations
About the authors
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Bibliography
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Forecasting: Principles and Practice (3rd ed)

Chapter 13 Some practical forecasting issues

In this final chapter, we address many practical issues that arise in forecasting, and discuss some possible solutions.