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Practical Time Series Forecasting: A Hands-On Guide [3rd Edition] Paperback – April 7 2016
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The book offers clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods using the Excel® add-in XLMiner® to develop effective forecasting solutions that extract business value from time-series data.
Featuring improved organization and new material, the Third Edition 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 formats
- ISBN-100991576659
- ISBN-13978-0991576654
- Edition3rd
- Publication dateApril 7 2016
- LanguageEnglish
- Dimensions17.78 x 1.19 x 25.4 cm
- Print length208 pages
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Product description
About the Author
GALIT SHMUELI, PhD, is Distinguished Professor at the Institute of Service Science, National Tsing Hua University, Taiwan. She is co-author of the best-selling textbook Data Mining for Business Analytics, among other books and numerous publications in top journals. She has designed and instructed courses on forecasting, data mining, statistics and other data analytics topics at University of Maryland's Smith School of Business, the Indian School of Business, National Tsing Hua University and online at statistics.com. For more information, visit galitshmueli.com
Product details
- Publisher : Axelrod Schnall Publishers; 3rd edition (April 7 2016)
- Language : English
- Paperback : 208 pages
- ISBN-10 : 0991576659
- ISBN-13 : 978-0991576654
- Item weight : 372 g
- Dimensions : 17.78 x 1.19 x 25.4 cm
- Best Sellers Rank: #562,293 in Books (See Top 100 in Books)
- #245 in Planning & Forecasting
- #249 in Business Planning & Forecasting (Books)
- #568 in Statistics Textbooks
- Customer Reviews:
About the author

Galit Shmueli is Distinguished Professor at the Institute of Service Science, National Tsing Hua University, Taiwan. She is also a visiting scholar at Academia Sinica's Institute of Statistical Science. Between 2011-2014 she was the SRITNE Chaired Professor of Data Analytics and Associate Professor of Statistics & Information Systems at the Indian School of Business. She is best known for her research and teaching in business analytics, with a focus on statistical and data mining methods for contemporary data and applications in information systems and healthcare.
Dr. Shmueli's research has been published in the statistics, management, information systems, and marketing literature. She authored/co-authored over ninety journal articles, books, textbooks and book chapters, including the popular textbook Data Mining for Business Intelligence and Practical Time Series Forecasting. Dr. Shmueli is an award-winning teacher and speaker on data analytics.
She has taught at Carnegie Mellon University, University of Maryland, the Israel Institute of Technology, Statistics.com and the Indian School of Business. Her experience spans business and engineering students and professionals, both online and on-ground. Dr. Shmueli teaches courses on data mining, statistics, forecasting, data visualization, and industrial statistics.
For more information, visit www.galitshmueli.com
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Top review from Canada
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Dr. Shmueli takes into consideration every potential scenario that may arise in real-life when setting out to build a forecasting model, something that I haven't seen in many other forecasting books.
A must-have book for all of those interested in the field of forecasting!
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