Forecasting: Principles and Practice, the Pythonic Way - Paperback
Pay over time for orders over $35.00 with
Offers & Perks
Earn 57 points with this purchase
Added to your rewards balance after checkout.
100 points welcome bonus
Create an account and start with extra points.
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/
Contributor(s)
Authors
Free shipping on orders over $75. Standard shipping takes 3-7 business days. Eligible items may be returned within 30 days of delivery. Conditions apply.