A Comparative Study on Fashion Demand Forecasting Models with Multiple Sources of Uncertainty
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
http://link.springer.com/article/10.1007/s10479-016-2204-6/fulltext.html
Reference67 articles.
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3. Aviv, Y. (2001). The effect of collaborative forecasting on supply chain performance. Management Science, 47(10), 1326–1343.
4. Banica, L., Pirvu, D., & Hagiu, A. (2014). Neural networks based forecasting for Romanian clothing sector. In T. M. Choi, C. L. Hui, & Y. Yong (Eds.), Intelligent fashion forecasting systems: Models and applications (pp. 161–194). Berlin: Springer.
5. Box, G. E., Jenkins, G. M., & Reinsel, G. C. (2011). Time series analysis: Forecasting and control. New York: Wiley.
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