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Day ahead forecast of complex seasonal natural gas data to enhance procurement efficiency
Naim, Iram; Mahara, Tripti; Khan, Sharfuddin Ahmed - In: International journal of procurement management 13 (2020) 6, pp. 831-852
Persistent link: https://www.econbiz.de/10012515821
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A systems approach to recursive economic forecasting and seasonal adjustment
Young, Peter C.; Ng, Cho; Armitage, Peter - 1989
Persistent link: https://www.econbiz.de/10000760463
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Business surveys modelling with seasonal-cyclical long memory models
Ferrara, Laurent (contributor);  … - 2008
Persistent link: https://www.econbiz.de/10003797014
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Forecasting S&P 500 volatility : long memory, level shifts, leverage effects, day-of-the-week seasonality, and macroeconomic announcements
Martens, Martin; Dijk, Dick van; Pooter, Michiel de - In: International journal of forecasting 25 (2009) 2, pp. 282-303
Persistent link: https://www.econbiz.de/10003870055
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Forecasting and seasonal adjustment
Bagshaw, Michael L. - 1985
Persistent link: https://www.econbiz.de/10003478171
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Kurzfristige Prognose von Tageszeitreihen mit Kalendereffekten
Scholze, Stephan - 2010 - 1. Aufl.
Persistent link: https://www.econbiz.de/10008860479
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Forecasting an accumulated series based on partial accumulation II: a new Bayesian method for short series with stable seasonal patterns
Mendoza, Manuel; Alba, Enrique de - In: International journal of forecasting 22 (2006) 4, pp. 781-798
Persistent link: https://www.econbiz.de/10003385886
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Modelling the daily currency in circulation in Turkey
Güler, Halil; Talaslı, İ. Anıl - In: Central Bank review / The Central Bank of the Republic … 10 (2010) 1, pp. 29-46
Persistent link: https://www.econbiz.de/10003987264
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Can we use seasonally adjusted variables in dynamic factor models?
Camacho, Maximo; Lovcha, Yuliya; Pérez-Quirós, Gabriel - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 19 (2015) 3, pp. 377-391
Persistent link: https://www.econbiz.de/10011339427
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Forecasting daily time series using periodic unobserved components time series models
Koopman, Siem Jan; Ooms, Marius - 2004
We explore a periodic analysis in the context of unobserved components time series models that decompose time series into components of interest such as trend and seasonal. Periodic time series models allow dynamic characteristics to depend on the period of the year, month, week or day. In the...
Persistent link: https://www.econbiz.de/10011342560