# About the Books

Practical Time Series Forecasting, Third Edition and Practical Time Series Forecasting with R, Second and Third Editions 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.

## Practical Time Series Forecasting with R: A Hands-On Guide

3rd Edition (using the R fable package)

3rd Edition (using the R fable package)

250 pages

Full color

3rd Edition

R-based (using the R fable package)

Publication: July 2016

Softcover

ISBN-10: 0997847913

ISBN-13: 978-0997847918

Hardcover

ISBN-10: 0997847921

ISBN-13: 978-0997847925

Dimensions: 7 x 10 inches

## Practical Time Series Forecasting with R: A Hands-On Guide

2nd Edition (using the R forecast package)

2nd Edition (using the R forecast package)

232 pages

2nd Edition

R-based (using the R forecast package)

Publication: July 2016

Softcover

ISBN-10: 0997847913

ISBN-13: 978-0997847918

Hardcover

ISBN-10: 0997847921

ISBN-13: 978-0997847925

Ebook

Amazon Kindle

Google Play Books

Dimensions: 7 x 10 inches

## Practical Time Series Forecasting: A Hands-On Guide

2nd Edition (Microsoft Excel based)

2nd Edition (Microsoft Excel based)

Paperback: 208 pages

3rd Edition

Excel-based

Publication: July 2016

Softcover

ISBN-10: 0991576659

ISBN-13: 978-0991576654

Hardcover

ISBN-10: 099784793X

ISBN-13: 978-0997847932

Ebook

Amazon Kindle

Google Play Books

Dimensions: 7 x 10 inches

## R and Excel Editions

Practical Time Series Forecasting with R is the R Edition: Methods are illustrated using R, an open-source, free statistical programming language.

The R 2nd Edition uses the R forecast package

The R 3rd Edition uses the R fable package

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.