Non-Fiction Books:

Forecasting With The Theta Method

Theory and Applications

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Forecasting With The Theta Method by Kostas I. Nikolopoulos

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This book is the first to detail the Theta method of forecasting. The Theta method of Forecasting is considered one of the most difficult-to-beat forecasting benchmarks and has topped the biggest ever forecasting competition in the world - the M3 competition, which in 2000, involved 19 academic methods and six software packages to compete for what would provide the best forecasts for 3003 real series from industry, finance and economics. Written by the two leading experts in the field, this book will throw light on the exact replication of the method and under what conditions the method outperforms all other forecasting methods. Recent developments such as a multivariate step are also included and as such this book is a valuable tool for both academics and practitioners The book includes three main parts: Part I: Method, Models and Applications - detailing new theory about the model Part II: Performance in Forecasting Competitions - detailing empirical result and simulations on the method Part III: Contributions - contributions from other academics working on the method in the recent years

Author Biography

KOSTAS I. NIKOLOPOULOS is Associate Dean (Research) & Chair in Business Analytics--College of Business, Law, Education and Social Sciences, Prifysgol Bangor University. He is also the Director of the forLAB forecasting laboratory ( and has several years of experience in the UK and Greece as Consultant and Software Engineer in projects with Siemens Healthcare Diagnostics, DoH, RevOil. and the Treasury and Home Office (in Greece). DIMITRIOS D. THOMAKOS is Head of Department & Chair in Applied Econometrics, School of Economics, Management and Informatics, University of Peloponnese, Greece, and Senior Fellow, Member of the Scientific Committee, Rimini Centre for Economic Analysis, Italy. He holds a PhD from Columbia University and has been advising many financial institutions on financial predictive analytics.
Release date NZ
March 8th, 2019
Country of Publication
United States
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