Forecasting: Principles and Practice by Hyndman & Athanasopoulos
Forecasting: Principles and Practice - Table of Contents
- 1. Getting Started
- 2. Time Series Graphics
- 3. Time Series Decomposition
- 4. Extracting Time Series Features
- 5. The Forecaster’s Toolbox
- 6. Principles of Judgmental Forecasts
- 7. Time Series Regression Models
- 8. Exponential Smoothing (ETS)
- 9. Stationary and Non-Stationary ARIMA Models
- 10. Dynamic Regression Models
- 11. Forecasting Hierarchical and Grouped Time Series
- 12. Advanced Forecasting Methods
- 13. Some Practical Forecasting Issues
What You Will Learn in Forecasting: Principles and Practice
Forecasting: Principles and Practice by Rob J Hyndman and George Athanasopoulos is a widely acclaimed textbook that provides a comprehensive introduction to time series forecasting. Designed for advanced undergraduate, graduate, and professional courses, this foundational text breaks down complex concepts like time series decomposition, ETS models, ARIMA modeling, dynamic regression, and hierarchical forecasting into clear, actionable lessons.
Perfect for students, analysts, and researchers in data science, economics, supply chain management, and finance, this textbook bridges the gap between statistical theory and practical decision-making. Hyndman and Athanasopoulos guide readers through the entire forecasting pipeline—from exploratory data analysis and evaluating forecast accuracy to handling seasonality and trend shifts using modern R tools. Whether you are predicting demand, analyzing macroeconomic indicators, or building automated forecasting systems, this text provides a clear, structured roadmap through every chapter.
Known globally for its clarity, practical focus, and integration with modern R packages, it remains one of the best time series forecasting books pdf available for self-study. It systematically equips learners with necessary quantitative tools for mastering modern forecasting methods with confidence.
Book Details & Specifications
Title:
Forecasting: Principles and Practice by Hyndman & Athanasopoulos
Publisher:
Otexts
Year:
2021
Pages:
440
Type:
PDF
Language:
English
ISBN-10 #:
0987507133
ISBN-13 #:
ISBN-13 978-0987507136
License:
External Educational Resource
Amazon:
Amazon
About the Author: Rob J. Hyndman
The author Rob J. Hyndman
are Australian statisticians recognized for their contributions to "forecasting" and "time series analysis". Hyndman earned his PhD in Statistics from Monash University and is known for developing practical forecasting methods and the widely used R package "forecast". Athanasopoulos specializes in applied statistics and data science, collaborating closely with Hyndman on research and teaching. Their expertise includes "R programming, statistical modeling, predictive analytics, applied statistics, and forecasting techniques". Together, they focus on creating accessible, practical resources that help students, researchers, and professionals analyze real-world data and make accurate predictions in business, economics, and scientific research.
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