From the creator of some of the most widely used packages for time series in the R programming language comes a brand new book, and its online!
This time the book is free, will be updated and 7 chapters are ready (to read!)
. If you do forecasting professionally, now is the time to suggest your own use cases to be featured as the book gets ready by end- 2012. The book is intended as a replacement for Makridakis, Wheelwright and Hyndman (Wiley 1998).
The book is written for three audiences:
(1) people finding themselves doing forecasting in business when they may not have had any formal training in the area;
(2) undergraduate students studying business;
(3) MBA students doing a forecasting elective.
The book is different from other forecasting textbooks in several ways.
- It is free and online, making it accessible to a wide audience.
- It is continuously updated. You don’t have to wait until the next edition for errors to be removed or new methods to be discussed. We will update the book frequently.
- There are dozens of real data examples taken from our own consulting practice. We have worked with hundreds of businesses and organizations helping them with forecasting issues, and this experience has contributed directly to many of the examples given here, as well as guiding our general philosophy of forecasting.
- We emphasise graphical methods more than most forecasters. We use graphs to explore the data, analyse the validity of the models fitted and present the forecasting results.
A print version and a downloadable e-version of the book will be available to purchase on Amazon, but not until a few more chapters are written.
Contents
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DECISION STATS 