Predictive Analytics and Time Series (English Edition · 3rd Edition) (English Edition · 3rd Edition)

Author: Baoman
Publisher:
Publish Date: 2003-07-01
Features: This book clearly and comprehensively introduces the Box-Jenkins method. It precisely and easily explains transfer functions and intervention models, and introduces multivariate time series analysis. It provides a large number of exercises based on real-world cases. Prediction results are presented using MINITAB and SAS output, and optional chapters are included to detail the usage of MINITAB and SAS. This book serves as a textbook for courses in forecasting and time series analysis, explaining the important processes of forecasting and various statistical techniques that can be used for prediction. The author clearly demonstrates the importance of making informed decisions through forecasting in areas such as marketing, finance, human resource management, product scheduling, process control, and strategic management. This book is suitable as a textbook for senior undergraduate and graduate students in business administration, science and engineering (including mathematics, statistics, computer science, etc.), as well as a reference for professionals who need to conduct real-world forecasting.