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ARMA-Modell
Prognoseverfahren
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Hyndman, Rob J.
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Working paper / Department of Econometrics and Business Statistics, Monash University
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International journal of forecasting
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Journal of the Operational Research Society : OR
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ECONIS (ZBW)
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Nonlinear mixed effects models for time series forecasting of smart meter demand
Roach, Cameron
;
Hyndman, Rob J.
;
Ben Taieb, Souhaib
-
2020
Persistent link: https://www.econbiz.de/10012610883
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2
A note on upper bounds for forecast-value-added relative to naïve forecasts
Goodwin, Paul
;
Petropoulos, Fotios
;
Hyndman, Rob J.
- In:
Journal of the Operational Research Society : OR
68
(
2017
)
9
,
pp. 1082-1084
Persistent link: https://www.econbiz.de/10011799306
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3
Time series forecasting : the case for the single source of error state space
Ord, John Keith
;
Snyder, Ralph D.
;
Koehler, Anne B.
; …
-
2005
Persistent link: https://www.econbiz.de/10002728810
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4
Automatic time series forecasting : the forecast package for R
Hyndman, Rob J.
;
Khandakar, Yeasmin
-
2007
Persistent link: https://www.econbiz.de/10003486446
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5
Distributed ARIMA models for ultra-long time series
Wang, Xiaoqian
;
Kang, Yanfei
;
Hyndman, Rob J.
;
Li, Feng
-
2020
Persistent link: https://www.econbiz.de/10012610507
Saved in:
6
Distributed ARIMA models for ultra-long time series
Wang, Xiaoqian
;
Kang, Yanfei
;
Hyndman, Rob J.
;
Li, Feng
- In:
International journal of forecasting
39
(
2023
)
3
,
pp. 1163-1184
Persistent link: https://www.econbiz.de/10014465263
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