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Optimal combination forecasts for hierarchical time series
Hyndman, Rob J. (contributor); Ahmed, Roman A. (contributor) - 2007
Persistent link: https://www.econbiz.de/10003778313
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Two canonical VARMA forms : scalar component models vis-à-vis the Echelon form
Athanasopoulos, George (contributor);  … - 2007
Persistent link: https://www.econbiz.de/10003778315
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Non-linear exponential smoothing and positive data
Akram, Muhammad (contributor); Hyndman, Rob J. (contributor) - 2007
Persistent link: https://www.econbiz.de/10003778322
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A view of damped trend as incorporating a tracking signal into a state space model
Snyder, Ralph D. (contributor); Koehler, Anne B. (contributor) - 2008
Persistent link: https://www.econbiz.de/10003778339
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Exponential smoothing and the Akaike Information Criterion
Snyder, Ralph D.; Ord, John Keith - 2009
Persistent link: https://www.econbiz.de/10003852044
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An assessment of alternative state space models for count time series
Snyder, Ralph D.; Martin, Gael M.; Gould, Phillip; … - 2007
Persistent link: https://www.econbiz.de/10003486451
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Short-term load forecasting based on a semi-parametric additive model
Shu Fan; Hyndman, Rob J. - 2010
Persistent link: https://www.econbiz.de/10008662290
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Description length based signal detection in singular spectrum analysis
Rahman Khan, Md. Atikur; Poskitt, Donald Stephen - 2010
Persistent link: https://www.econbiz.de/10008662323
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VARMA versus VAR for macroeconomic forecasting
Athanasopoulos, George; Vahid, Farshid - 2006
Persistent link: https://www.econbiz.de/10003301166
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Moment tests for window length selection in singular spectrum analysis of short- and long-memory processes
Rahman Khan, Md. Atikur; Poskitt, Donald Stephen - 2011
In this paper we propose a new methodology for selecting the window length in Singular Spectral Analysis in which the window length is determined from the data prior to the commencement of modeling. The selection procedure is based on statistical tests designed to test the convergence of the...
Persistent link: https://www.econbiz.de/10009406242