Principles of Forecasting

Armstrong assembled forty leading experts and put every chapter through multiple rounds of rigorous peer review — the result is an 849-page handbook that shaped the methodological agenda for forecasting research for a generation. The Journal of Forecasting review confirmed its landmark status, and the emphasis on concrete, evidence-based principles rather than theory gives it unusual practical durability. Machine learning and big-data forecasting are outside its scope, so pair it with more current literature there.