Tóm tắt

Practical Time Series Forecasting with R: 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.rnrnThe book offers clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods using the free open-source R software to develop effective forecasting solutions that extract business value from time series data.rnrnThis edition features the R fable package, full color, enhanced organization, and new material. It includes:rnPopular forecasting methods including smoothing algorithms, regression models, ARIMA, neural networks, deep learning, and ensemblesrnA practical approach to evaluating the performance of forecasting solutionsrnA business-analytics exposition focused on linking time-series forecasting to business goalsrnGuided cases for integrating the acquired knowledge using real datarnEnd-of-chapter problems to facilitate active learningrnData, R code, and instructor materials on companion websiternAffordable and globally-available textbook, available in hardcover, paperback, and Kindle formatsrnPractical Time Series Forecasting with R: 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, information systems, finance, and management.