Praise for the First Edition
" [t]he book is great for readers who need to apply the methods and models presented but have little background in mathematics and statistics." –MAA Reviews
Thoroughly updated throughout, Introduction to Time Series Analysis and Forecasting, Second Edition presents the underlying theories of time series analysis that are needed to analyze time–oriented data and construct real–world short– to medium–term statistical forecasts.
Authored by highly–experienced academics and professionals in engineering statistics, the Second Edition features discussions on both popular and modern time series methodologies as well as an introduction to Bayesian methods in forecasting. Introduction to Time Series Analysis and Forecasting, Second Edition also includes:
Douglas C. Montgomery, PhD, is Regents′ Professor and ADU Foundation Professor of Engineering at Arizona State University. With over 35 years of academic and consulting experience, Dr. Montgomery has authored or coauthored over 250 journal articles and 13 books. His research interests include design and analysis of experiments, statistical methods for process monitoring and optimization, and the analysis of time–oriented data.
Cheryl L. Jennings, PhD, is a Process Design Consultant with Bank of America. An active member of both the American Statistical Association and the American Society for Quality, her areas of research and profession interest include Six Sigma, modeling and analysis, and process control and improvement.
Murat Kulahci, PhD, is Associate Professor of Informatics and Mathematical Modelling at the Technical University of Denmark. The author of over 30 journal articles, Dr. Kulahci s research interests include time series analysis, design of experiments, and statistical process control and monitoring.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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