Forecasting: Principles and Practice by Hyndman & Athanasopoulos

Book Contents :-
1. Getting Started 2. Time Series Graphics 3. Time Series Decomposition 4. Time Series Features 5. The Forecaster’s Toolbox 6. Judgmental Forecasts 7. Time Series Regression Models 8. Exponential Smoothing 9. ARIMA Models 10. Dynamic Regression Models 11. Forecasting Hierarchical and Grouped Time Series 12. Advanced Forecasting Methods 13. Some Practical Forecasting Issues

About this book :-
"Forecasting: Principles and Practice" by Rob J. Hyndman and George Athanasopoulos is a practical guide to understanding and applying "time series forecasting" in real-world scenarios. The book introduces core concepts in forecasting, explaining how to predict future data points using modern statistical methods. Written in a clear, accessible style, it bridges the gap between theory and practical implementation, making it ideal for students and practitioners alike. The book emphasizes hands-on learning with the "R programming language", using packages like "forecast" and "fable" to demonstrate various techniques. Topics include exponential smoothing, ARIMA models, time series decomposition, forecasting accuracy, and model evaluation. Each chapter contains examples using real datasets, helping readers understand how to apply forecasting methods to fields such as sales, finance, environmental studies, and operations. Overall, this book is perfect for anyone seeking practical guidance in "forecasting", "time series analysis", "predictive modeling", "data science", and "statistical analysis". It provides both conceptual understanding and actionable skills, allowing readers to build accurate forecasting models, evaluate their performance, and make informed decisions. With exercises and examples throughout, it equips learners with the tools to confidently analyze and forecast real-world data.

Book Detail :-
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 Author :-
The author Rob J. Hyndman and George Athanasopoulos 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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