Practical Time Series Forecasting with R: A Hands-On Guide [2nd Edition] (Practical Analytics)

Featuring improved organization and new material, the Second 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, R code, learning resources, and instructor materials (solutions to exercises, case studies)Globally-available textbook, available in both softcover and Kindle formats