About the Books
Practical Time Series Forecasting, Third Edition and Practical Time Series Forecasting with R, Second Edition provide an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The books introduce popular forecasting methods and approaches used in a variety of business applications.
The books offer clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods using the Excel® add-in XLMiner® (Practical Time Series Forecasting) or R (Practical Time Series Forecasting with R) to develop effective forecasting solutions that extract business value from time-series data.
Featuring improved organization and new material, the new editions also includes:Popular forecasting methods including smoothing algorithms, regression models, and neural networks
A practical approach to evaluating the performance of forecasting solutions
A business-analytics exposition focused on linking time-series forecasting to business goals
Guided cases for integrating the acquired knowledge using real data
End-of-chapter problems to facilitate active learning
A companion site with data sets, learning resources, and instructor materials (solutions to exercises, case studies, and slides)
Globally-available textbook, available in both softcover and Kindle formatsPractical Time Series Forecasting and Practical Time Series Forecasting with R are the perfect textbooks for upper-undergraduate, graduate and MBA-level courses as well as professional programs in data science and business analytics. The books are also designed for practitioners in the fields of operations research, supply chain management, marketing, economics, finance and management.
Book details (R Edition)
Title: Practical Time Series Forecasting with R: A Hands-On Guide
Publication: July 2016
Dimensions: 7 x 10 inches
Book details (Excel-based Edition)
Practical Time Series Forecasting with R is the R Edition: Methods are illustrated using R, an open-source, free statistical programming language.
Practical Time Series Forecasting is the Excel-based Edition: Methods are illustrated using XLMiner, an Excel add-on. However, any software that has time series forecasting capabilities can be used with the book.
What Readers and Reviewers Are Saying
"Bottom line - one of the best intro books on time series and forecasting I have ever seen"
— Dr. Ron S. Kenett
Read more praise for Practical Time Series Forecasting.