A successive filtering technique for identifying long-term trends-Reference-Cited by-同舟云学术

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A successive filtering technique for identifying long-term trends

Published:1995-01 Issue:1 Volume:14 Page:35-43
ISSN:0277-6693
Container-title:Journal of Forecasting
language:en
Short-container-title:J. Forecast.

Author:

Assimakopoulos V.

Publisher

Wiley

Subject

Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Computer Science Applications,Modelling and Simulation

Reference7 articles.

1. Long-Range Forecasting, New York: John Wiley, 1985.

2. and , Seasonal Adjustment as a Practical Problem, Amsterdam: North-Holland, 1991.

3. The future of the time-series forecasting

4. and , Forecasting Methods for Management, 5th edition, New York: John Wiley, 1989.

5. et al., Forecasting Methods and Applications, 2nd edition, New York: John Wiley, 1983.

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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3. Forecasting with a hybrid method utilizing data smoothing, a variation of the Theta method and shrinkage of seasonal factors;International Journal of Production Economics;2019-03

4. References;Forecasting with the Theta Method;2019-01-11

5. Models for optimising the theta method and their relationship to state space models;International Journal of Forecasting;2016-10

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