Business Forecasting
Practical Problems and Solutions
A comprehensive collection of the field's most provocative, influential new workBusiness Forecasting compiles some of the field's important and influential literature into a single, comprehensive reference for forecast modeling and process improvement. It is packed with provocative ideas from forecasting researchers and practitioners, on topics including accuracy metrics, benchmarking, modeling of problem data, and overcoming dysfunctional behaviors. Its coverage includes often-overlooked issues at the forefront of research, such as uncertainty, randomness, and forecastability, as well as emerging areas like data mining for forecasting.The ar…
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Produktdetails
Weitere Autoren: Tashman, Len / Sglavo, Udo
- ISBN: 978-1-119-22456-3
- EAN: 9781119224563
- Produktnummer: 18908842
- Verlag: Wiley
- Sprache: Englisch
- Erscheinungsjahr: 2016
- Seitenangabe: 416 S.
- Masse: H26.1 cm x B18.2 cm x D3.4 cm 666 g
- Gewicht: 666
Über den Autor
MICHAEL GILLILAND is Marketing Manager for SAS forecasting software, editor of the Forecasting Practice section of Foresight: The International Journal of Applied Forecasting, and author of The Business Forecasting Deal. He has published articles in Supply Chain Management Review, Journal of Business Forecasting, Analytics, Supply Chain Forecasting Digest, APICS Magazine, Swiss Analytics Magazine, and Foresight. Mike holds a BA in Philosophy from Michigan State University, and Master's degrees in Philosophy and Mathematical Sciences from Johns Hopkins University. Follow his blog, The Business Forecasting Deal, at blogs.sas.com/content/forecasting.LEN TASHMAN is the founding editor of Foresight: The International Journal of Applied Forecasting, now in its 10th year of publication. He serves on the Board of Directors of the International Institute of Forecasters and is organizer and chair of the Forecasting in Practice Track at the annual International Symposium on Forecasting. Len is an emeritus professor of business administration at the University of Vermont and Director of the Center for Business Forecasting.UDO SGLAVO is Senior Director of Predictive Modeling R&D at SAS Institute. His team develops industry-leading and award-winning software for data mining, machine learning, and large scale automatic forecasting. He has published articles in Analytics, and is a contributor to The Business Forecasting Deal blog. Udo has served on the practitioner advisory board of Foresight, and holds a diploma in mathematics from University of Applied Sciences, Darmstadt, Germany.
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