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~person:"Hyndman, Rob J."
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Hyndman, Rob J.
Gil-Alaña, Luis A.
333
Caporale, Guglielmo Maria
258
Phillips, Peter C. B.
237
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215
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89
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82
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79
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78
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77
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73
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72
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72
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71
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70
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69
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67
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58
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17
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4
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2
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ECONIS (ZBW)
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81
Forecasting with exponential smoothing : the state space approach
Hyndman, Rob J.
-
2008
Persistent link: https://www.econbiz.de/10003438535
Saved in:
82
25 years of time series forecasting
Gooijer, Jan G. de
;
Hyndman, Rob J.
- In:
International journal of forecasting
22
(
2006
)
3
,
pp. 443-473
Persistent link: https://www.econbiz.de/10003355894
Saved in:
83
The interaction between trend and seasonality
Hyndman, Rob J.
- In:
International journal of forecasting
20
(
2004
)
4
,
pp. 561-563
Persistent link: https://www.econbiz.de/10002433857
Saved in:
84
Exponential smoothing for inventory control : means and variances of lead-time demand
Snyder, Ralph D.
;
Koehler, Anne B.
;
Hyndman, Rob J.
; …
-
2002
Persistent link: https://www.econbiz.de/10001704966
Saved in:
85
Local linear forecasts using cubic smoothing splines
Hyndman, Rob J.
(
contributor
)
-
2002
Persistent link: https://www.econbiz.de/10001705022
Saved in:
86
Prediction intervals for exponential smoothing state space models
Hyndman, Rob J.
(
contributor
)
-
2001
Persistent link: https://www.econbiz.de/10001640435
Saved in:
87
Residual diagnostic plots for checking for model mis-specification in time series regression
Fraccaro, Richard
-
1998
Persistent link: https://www.econbiz.de/10000995979
Saved in:
88
Forecasting : methods and applications
Makridakis, Spyros G.
;
Wheelwright, Steven C.
;
Hyndman, …
-
1998
-
3. ed.
Persistent link: https://www.econbiz.de/10000643079
Saved in:
89
Highest-density forecast regions for non-linear and non-normal time series models
Hyndman, Rob J.
- In:
Journal of forecasting
14
(
1995
)
5
,
pp. 431-441
Persistent link: https://www.econbiz.de/10001188614
Saved in:
90
On continuous-time threshold autoregression
Brockwell, Peter J.
- In:
International journal of forecasting
8
(
1992
)
2
,
pp. 157-173
Persistent link: https://www.econbiz.de/10001135280
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