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Time-Series Forecasting Techniques by Amr Gamal is a document available to read on EtoBox.

What is Time-Series Forecasting Techniques about?

Chapter 4 focuses on forecasting methods, particularly time-series forecasting techniques such as moving averages, weighted moving averages, and exponential smoothing. It presents various problems related to forecasting demand, sales, and other metrics using historical data, along with calculations for mean absolute deviation (MAD) and mean squared error (MSE). The chapter emphasizes the importance of selecting appropriate forecasting methods and parameters to improve accuracy.

Author
Amr Gamal
Language
EN