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~isPartOf:"International journal of forecasting"
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Forecasting model
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International journal of forecasting
Erasmus University of Rotterdam - Econometric Institute
199
Econometric Institute Report
54
Discussion paper / Tinbergen Institute
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Report / Econometric Institute, Erasmus University Rotterdam
8
Report / Econometric Institute, Erasmus University Rotterdam / Econometric Institute, Erasmus University Rotterdam
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A periodic long-memory model for quarterly UK inflation
Franses, Philip Hans
- In:
International journal of forecasting
13
(
1997
)
1
,
pp. 117-126
Persistent link: https://www.econbiz.de/10001224762
Saved in:
2
A periodic long-memory model for quarterly UK inflation
Franses, P.H.
;
Ooms, M.
- In:
International journal of forecasting
13
(
1997
)
1
,
pp. 117-126
Persistent link: https://www.econbiz.de/10006998351
Saved in:
3
An hourly periodic state space model for modelling French national electricity load
Dordonnat, V.
;
Koopman, S.J.
;
Ooms, M.
;
Dessertaine, A.
; …
- In:
International journal of forecasting
24
(
2008
)
4
,
pp. 566-587
Persistent link: https://www.econbiz.de/10008143091
Saved in:
4
An hourly periodic state space model for modelling French national electricity load
Dordonnat, V.
;
Koopman, S.J.
;
Ooms, M.
;
Dessertaine, A.
; …
- In:
International journal of forecasting
24
(
2008
)
4
,
pp. 566-588
Persistent link: https://www.econbiz.de/10008897466
Saved in:
5
Exponentionally weighted methods for forecasting intraday time series with multiple seasonal cycles: Comments
Koopman, S.J.
;
Ooms, M.
- In:
International journal of forecasting
26
(
2010
)
4
,
pp. 647-652
Persistent link: https://www.econbiz.de/10008451630
Saved in:
6
Multimodality in GARCH regression models
Doornik, Jurgen A.
;
Ooms, Marius
- In:
International journal of forecasting
24
(
2008
)
3
,
pp. 432-448
Persistent link: https://www.econbiz.de/10003764109
Saved in:
7
An hourly periodic state space model for modelling French national electricity load
Dordonnat, V.
;
Koopman, Siem Jan
;
Ooms, Marius
; …
- In:
International journal of forecasting
24
(
2008
)
4
,
pp. 566-587
Persistent link: https://www.econbiz.de/10003808308
Saved in:
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