Practical Time Series Forecasting: A Hands-On Guide [3rd Edition] (Practical Analytics) - Softcover

Inhaltsangabe

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

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