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
Buy a print version
Report an error
Bibliography
Published by OTexts™ with bookdown

Forecasting: Principles and Practice (3rd ed)

Buy a print version

Paperback

(As an Amazon Associate, OTexts earns from purchases obtained by clicking these links.)