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The M3 competition: statistical tests of the results
Koning, Alex J.; Franses, Philip Hans; Hibon, Michèle; … - In: International journal of forecasting 21 (2005) 3, pp. 397-409
Persistent link: https://www.econbiz.de/10003005849
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Exponential smoothing: the effect of initial values and loss functions on post-sample forecasting accuracy
Makridakis, Spyros G.; Hibon, Michèle - 1990
Persistent link: https://www.econbiz.de/10000811255
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Exponential smoothing: the effect of initial values and loss functions on post-sample forecasting accuracy
Makridakis, Spyros G.; Hibon, Michèle - 1991
Persistent link: https://www.econbiz.de/10000816870
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Confidence intervals : an empir. investigation for the ser. in the M-competition
Makridakis, Spyros G.; Hibon, Michèle - 1986
Persistent link: https://www.econbiz.de/10000718677
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Advances in forecasting with neural networks? : empirical evidence from the NN3 competition on time series prediction
Crone, Sven F.; Hibon, Michèle; Nikolopoulos, Konstantinos - In: International journal of forecasting 27 (2011) 3, pp. 635-660
Persistent link: https://www.econbiz.de/10009248248
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The M-3 competition : statistical tests of the results
Hibon, Michèle (contributor);  … - 2003 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001826148
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ARMA models and the Box-Jenkins methodology
Makridakis, Spyros G.; Hibon, Michèle - 1995
Persistent link: https://www.econbiz.de/10000908300
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ARMA models and the Box-Jenkins methodology
Makridakis, Spyros G. - In: Journal of forecasting 16 (1997) 3, pp. 147-163
Persistent link: https://www.econbiz.de/10001227343
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ARMA models and the Box-Jenkins methodology
Makridakis, Spyros G.; Hibon, Michèle - 1995 - Rev. version of 95/33/TM
Persistent link: https://www.econbiz.de/10000910877
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Predicting U.S. Business Cycle Turning Points Using Real-Time Diffusion Indexes Based on a Large Data Set
Stekler, H.O. - 2016
This paper considers the issue of predicting cyclical turning points using real-time diffusion indexes constructed using a large data set from March 2005 to September 2014. We construct diffusion indexes at the monthly frequency, compare several smoothing and signal extraction methods, and...
Persistent link: https://www.econbiz.de/10012983069