35 Years International Journal of Forecasting PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download 35 Years International Journal of Forecasting PDF full book. Access full book title 35 Years International Journal of Forecasting by Andreas Andrikopoulos. Download full books in PDF and EPUB format.
Author: Andreas Andrikopoulos
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
This paper provides a bibliometric account of the International Journal of Forecasting across the Journal's first 35 years. We identify publication patterns, namely the volume of published research, co-authorship, internationalization, prolific authors, institutions, and countries. We also identify important scholars in terms of sub-authorship (acknowledgements). Furthermore, we employ social network analysis to identify central nodes (authors, affiliations, countries) in co-authorship and we explore a small-world network structure.
Author: Andreas Andrikopoulos
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
This paper provides a bibliometric account of the International Journal of Forecasting across the Journal's first 35 years. We identify publication patterns, namely the volume of published research, co-authorship, internationalization, prolific authors, institutions, and countries. We also identify important scholars in terms of sub-authorship (acknowledgements). Furthermore, we employ social network analysis to identify central nodes (authors, affiliations, countries) in co-authorship and we explore a small-world network structure.
Author:
Publisher:
ISBN:
Category : Business forecasting
Languages : en
Pages : 896
Get Book Here
Book Description
Author: JAN G. DE GOOIJER
Publisher:
ISBN:
Category :
Languages : en
Pages : 756
Get Book Here
Book Description
Author: Rob J. Hyndman
Publisher:
ISBN:
Category :
Languages : en
Pages : 222
Get Book Here
Book Description
Author: International institute of forecasters
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: ROBERT FILDES
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Chris Chatfield
Publisher: CRC Press
ISBN: 1420036203
Category : Business & Economics
Languages : en
Pages : 281
Get Book Here
Book Description
From the author of the bestselling "Analysis of Time Series," Time-Series Forecasting offers a comprehensive, up-to-date review of forecasting methods. It provides a summary of time-series modelling procedures, followed by a brief catalogue of many different time-series forecasting methods, ranging from ad-hoc methods through ARIMA and state-space
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 810
Get Book Here
Book Description
Author: Michael Gilliland
Publisher: John Wiley & Sons
ISBN: 1119782473
Category : Business & Economics
Languages : en
Pages : 435
Get Book Here
Book Description
Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field In Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo deliver relevant and timely insights from some of the most important and influential authors in the field of forecasting. You'll learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics. The book offers multiple perspectives on issues like monitoring forecast performance, forecasting process, communication and accountability for forecasts, and the use of big data in forecasting. You will find: Discussions on deep learning in forecasting, including current trends and challenges Explorations of neural network-based forecasting strategies A treatment of the future of artificial intelligence in business forecasting Analyses of forecasting methods, including modeling, selection, and monitoring In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book also includes 16 "opinion/editorial" Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners, each providing their own unique vision of the issues, current state, and future direction of business forecasting. Perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts.
Author: Matthias Seifert
Publisher: Springer Nature
ISBN: 3031300858
Category : Business & Economics
Languages : en
Pages : 321
Get Book Here
Book Description
This book highlights research on the behavioral biases affecting judgmental accuracy in judgmental forecasting and showcases the state-of-the-art in judgment-based predictive analytics. In recent years, technological advancements have made it possible to use predictive analytics to exploit highly complex (big) data resources. Consequently, modern forecasting methodologies are based on sophisticated algorithms from the domain of machine learning and deep learning. However, research shows that in the majority of industry contexts, human judgment remains an indispensable component of the managerial forecasting process. This book discusses ways in which decision-makers can address human behavioral issues in judgmental forecasting. The book begins by introducing readers to the notion of human-machine interactions. This includes a look at the necessity of managerial judgment in situations where organizations commonly have algorithmic decision support models at their disposal. The remainder of the book is divided into three parts, with Part I focusing on the role of individual-level judgment in the design and utilization of algorithmic models. The respective chapters cover individual-level biases such as algorithm aversion, model selection criteria, model-judgment aggregation issues and implications for behavioral change. In turn, Part II addresses the role of collective judgments in predictive analytics. The chapters focus on issues related to talent spotting, performance-weighted aggregation, and the wisdom of timely crowds. Part III concludes the book by shedding light on the importance of contextual factors as critical determinants of forecasting performance. Its chapters discuss the usefulness of scenario analysis, the role of external factors in time series forecasting and introduce the idea of mindful organizing as an approach to creating more sustainable forecasting practices in organizations.
