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subject:"Welt"
~person:"Makridakis, Spyros G."
~subject:"Forecasting model"
~type_genre:"Article in journal"
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Search: subject_exact:"Prognosetechnik"
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Welt
Forecasting model
Prognoseverfahren
29
Theorie
23
Theory
23
Time series analysis
15
Zeitreihenanalyse
15
Forecasting competitions
7
Time series
7
Absatz
6
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6
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6
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5
M competitions
5
Retail sales forecasting
5
Wettbewerb
5
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4
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4
Forecasting accuracy
4
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3
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English
29
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Makridakis, Spyros G.
Gupta, Rangan
184
Ma, Feng
91
Pierdzioch, Christian
84
Clements, Michael P.
70
Franses, Philip Hans
64
Baghestani, Hamid
58
Wang, Yudong
58
Fildes, Robert
57
Zhang, Yaojie
57
Timmermann, Allan
54
McMillan, David G.
52
Marcellino, Massimiliano
51
Stekler, Herman O.
46
Wohar, Mark E.
44
Petropoulos, Fotios
42
Goodwin, Paul
40
Nikolopoulos, Konstantinos
39
Ruelke, Jan-Christoph
39
Narayan, Paresh Kumar
38
Song, Haiyan
38
Wang, Shouyang
37
Zaremba, Adam
37
Hendry, David F.
36
Swanson, Norman R.
36
Taylor, James W.
36
Diebold, Francis X.
35
Hyndman, Rob J.
35
Liang, Chao
35
Salisu, Afees A.
34
Bratu, Mihaela
33
Kourentzes, Nikolaos
31
Lahiri, Kajal
31
Armstrong, Jon Scott
30
Balcilar, Mehmet
30
Kapetanios, George
30
Michelsen, Claus
29
Pesaran, M. Hashem
29
Wei, Yu
29
Moosa, Imad A.
28
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International journal of forecasting
22
European journal of operational research : EJOR
2
International journal of production economics
1
Journal of the Operational Research Society
1
MIT sloan management review
1
Operational research : an international journal
1
Risk and decision analysis
1
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ECONIS (ZBW)
29
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29
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1
Statistical, machine learning and deep learning forecasting methods : comparisons and ways forward
Makridakis, Spyros G.
;
Spiliotis, Evangelos
; …
- In:
Journal of the Operational Research Society
74
(
2023
)
3
,
pp. 840-859
Persistent link: https://www.econbiz.de/10014332223
Saved in:
2
Comparison of statistical and machine learning methods for daily SKU demand forecasting
Spiliotis, Evangelos
;
Makridakis, Spyros G.
; …
- In:
Operational research : an international journal
22
(
2022
)
3
,
pp. 3037-3061
Persistent link: https://www.econbiz.de/10013445352
Saved in:
3
Pandemics and forecasting : the way forward through the Taleb-Ioannidis debate
Pinson, Pierre
;
Makridakis, Spyros G.
- In:
International journal of forecasting
38
(
2022
)
2
,
pp. 410-412
Persistent link: https://www.econbiz.de/10013348580
Saved in:
4
COVID-19 : forecasting confirmed cases and deaths with a simple time series model
Petropoulos, Fotios
;
Makridakis, Spyros G.
;
Stylianou, …
- In:
International journal of forecasting
38
(
2022
)
2
,
pp. 439-452
Persistent link: https://www.econbiz.de/10013348603
Saved in:
5
Forecasting : theory and practice
Petropoulos, Fotios
;
Apiletti, Daniele
;
Assimakopoulos, V.
- In:
International journal of forecasting
38
(
2022
)
3
,
pp. 705-871
Persistent link: https://www.econbiz.de/10013349395
Saved in:
6
The M5 competition : background, organization, and implementation
Makridakis, Spyros G.
;
Spiliotis, Evangelos
; …
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1325-1336
Persistent link: https://www.econbiz.de/10014381084
Saved in:
7
Predicting/hypothesizing the findings of the M5 competition
Makridakis, Spyros G.
;
Spiliotis, Evangelos
; …
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1337-1345
Persistent link: https://www.econbiz.de/10014381085
Saved in:
8
M5 accuracy competition : results, findings, and conclusions
Makridakis, Spyros G.
;
Spiliotis, Evangelos
; …
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1346-1364
Persistent link: https://www.econbiz.de/10014381087
Saved in:
9
The M5 uncertainty competition : results, findings and conclusions
Makridakis, Spyros G.
;
Spiliotis, Evangelos
; …
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1365-1385
Persistent link: https://www.econbiz.de/10014381091
Saved in:
10
Exploring the representativeness of the M5 competition data
Theodorou, Evangelos
;
Wang, Shengjie
;
Kang, Yanfei
; …
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1500-1506
Persistent link: https://www.econbiz.de/10014381135
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