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Predicting recessions with factor linear dynamic harmonic regressions
Bujosa, Marcos; García-Ferrer, Antonio; Juan … - In: Journal of forecasting 32 (2013) 6, pp. 481-499
Persistent link: https://www.econbiz.de/10009789700
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Some considerations about "Forecasting aggregates and disaggregates with common features"
Bujosa, Marcos; García-Hiernaux, Alfredo - In: International journal of forecasting 29 (2013) 4, pp. 733-735
Persistent link: https://www.econbiz.de/10010221290
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Data-based mechanistic modelling and forecasting globally averaged surface temperature
Young, Peter C. - In: International journal of forecasting 34 (2018) 2, pp. 314-335
Persistent link: https://www.econbiz.de/10012030938
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Special issue: Nonlinearities, business cycles and forecasting
Garcia-Ferrer, Antonio (contributor) - 2005
Persistent link: https://www.econbiz.de/10003178300
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Managing business risk : an organization-wide approach to risk management
Young, Peter C.; Tippins, Steven C. - 2001
Persistent link: https://www.econbiz.de/10001508127
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Dynamic harmonic regression
Young, Peter C.; Pedregal, Diego J.; Tych, Wlodek - In: Journal of forecasting 18 (1999) 6, pp. 369-394
Persistent link: https://www.econbiz.de/10001493574
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An unobserved component model for multi-rate forecasting of telephone call demand : the design of a forecasting support system
Tych, Wlodek; Pedregal, Diego J.; Young, Peter C.; … - In: International journal of forecasting 18 (2002) 4, pp. 673-695
Persistent link: https://www.econbiz.de/10001723152
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Statistical approaches to modeling and forecasting time series
Pedregal, Diego J.; Young, Peter C. - In: A companion to economic forecasting, (pp. 69-104). 2002
Persistent link: https://www.econbiz.de/10001892995
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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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Modulated cycles, an approach to modelling periodic components from rapidly sampled data
Pedregal, Diego J.; Young, Peter C. - In: International journal of forecasting 22 (2006) 1, pp. 181-194
Persistent link: https://www.econbiz.de/10003283986