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Practical Time Series Forecasting: A Hands-On Guide [3rd Edition] (Practical Analytics)
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Bibliographic Detail
Publisher Axelrod Schnall Publishers
Publication date April 7, 2016
Pages 208
Binding Paperback
ISBN-13 9780991576654
ISBN-10 0991576659
Dimensions 0.47 by 7 by 10 in.
Weight 0.82 lbs.
Original list price $29.90
Summaries and Reviews
Amazon.com description: Product Description: Practical Time Series Forecasting: A Hands-On Guide, Third Edition provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting methods and approaches used in a variety of business applications.  

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 
Practical Time Series Forecasting: A Hands-On Guide, Third Edition is the perfect textbook for upper-undergraduate, graduate and MBA-level courses as well as professional programs in data science and business analytics. The book is also designed for practitioners in the fields of operations research, supply chain management, marketing, economics, finance and management.

For more information, visit forecastingbook.com


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