I recently got my hands on a physical copy of my new book: Principles of Business Forecasting (2nd edition).
Ord, K., Fildes, R. and Kourentzes, N., 2017. Principles of business forecasting. 2nd ed. Wessex Press Publishing Co.
I was invited by Keith Ord and Robert Fildes to join them in writing the much-revised 2nd edition of the book. The book is aimed at both practitioners and students and it differs from typical time series textbooks in being focused on business forecasting, with appropriate focus on various methods, as well as processes and judgemental forecasting.
The book’s chapters give you an idea of the various topics covered:
- Chapter 1: Forecasting, the Why and the How
- Chapter 2: Basic Tools for Forecasting
- Chapter 3: Forecasting Non-Seasonal Series
- Chapter 4: Seasonal Series: Forecasting and Decomposition
- Chapter 5: State-Space Models for Time Series
- Chapter 6: Autoregressive Integrated Moving Average (ARIMA) Models
- Chapter 7: Simple Linear Regression for Forecasting
- Chapter 8: Multiple Regression for Time Series
- Chapter 9: Model Building
- Chapter 10: Advanced Methods of Forecasting
- Chapter 11: Judgment-Based Forecasting
- Chapter 12: Putting Forecasting Methods to Work
- Chapter 13: Forecasting in Practice
The content of some chapters is self-evident, though others cover a broad set of topics. For example, chapter 10 looks at logistic regression and neural networks, amongst other topics, while chapters 12 and 13 provide a lot of the business context that is missing in many of the available time series textbooks. The book is supported by online material, including R based exercises and examples. You can find more information about the book here, or head to the publisher’s website.
One forecast I surely got wrong is how much work is involved in writing a book! Nonetheless, it has been a fantastic experience to co-author this book with Keith and Robert! I hope you will find it equally interesting and rewarding to read it.