Title: Forecasting
Publisher: Otexts
Publication Date: 2026
Language: English
ISBN 10: 0987507141
ISBN 13: 9780987507143
Binding: Paperback
Condition: New
Dimensions: 16.99 centimeters width by 2.51 centimeters height by 24.41 centimeters depth
Weight: 771 grams

About this title

Synopsis

Additional authors: Azul Garza, Cristian Challu, Max Mergenthaler, Kin G Olivares

Forecasting is required in many situations. Deciding whether to build another power generation plant in the next five years requires forecasts of future demand. Scheduling staff in a call centre next week requires forecasts of call volumes. Stocking an inventory requires forecasts of stock requirements. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning.

This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly. Examples use Python with many data sets taken from the authors' own consulting experience.

In this Python edition, two new chapters have been added on neural networks and foundation forecasting models. The latest version of the book is freely available online at https: //OTexts.com/fpppy/

About the Authors

Professor of Statistics

Professor

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