Practical Time Series Forecasting: A Hands-On Guide [3rd Edition] - Couverture souple

Shmueli, Galit

Couverture souple

ISBN 10 : 0991576659 ISBN 13 : 9780991576654

Editeur : Axelrod Schnall Publishers, 2016

Synopsis

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

A propos du livre

À propos de l'auteur

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

Détails de l'édition

• Éditeur: Axelrod Schnall Publishers
• Date d'édition: 2016
• Langue: anglais
• ISBN 10: 0991576659
• ISBN 13: 9780991576654
• Reliure: Broché
• Numéro d'édition: 3
• Nombre de pages: 208
• Coordonnées du fabricant: Manufactured by Amazon on behalf of the author; https://www.amazon.fr/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Luxembourg