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Search: subject:"model-based approach"
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Zeitreihenanalyse
4
signal extraction
4
ARIMA-model-based approach
3
Theorie
3
Theory
3
Time series analysis
3
Zustandsraummodell
3
ARIMA model-based approach
2
ARMA model
2
ARMA-Modell
2
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2
Deutschland
2
Estimation theory
2
Google trends
2
JDemetra+
2
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2
Model-based approach
2
Reallohn
2
STL approach
2
Saisonale Schwankungen
2
Saisonkomponente
2
Schätztheorie
2
Schätzung
2
Seasonal component
2
Seasonal variations
2
State space model
2
USA
2
X-11 approach
2
band-pass filter
2
business cycle
2
extended ARIMA model-based approach
2
extended X-11 approach
2
linear filtering
2
real wages
2
real-time analysis
2
stability analysis
2
structural time series model
2
trend-cycle decomposition
2
unobserved components
2
wavelet analysis
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10
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Webel, Karsten
4
Gómez, Víctor
3
Marczak, Martyna
3
Ayesha, Nazuk
1
Chen, Yuxin
1
Fan, Jianqing
1
Javid, Shabbir
1
Kwok, Oi-man
1
Li, Gen
1
Moldenhauer, Felix
1
Pitera, Marcin
1
Sadia, Nadir
1
Willson, Victor L.
1
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1
Yan, Yuling
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Forschungszentrum Innovation und Dienstleistung, Fakultät Wirtschafts- und Sozialwissenschaften
1
Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München
1
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ECONIS (ZBW)
6
EconStor
3
RePEc
2
BASE
1
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1
Revisions in concurrent seasonal adjustments of daily and weekly economic time series
Webel, Karsten
-
2025
across data vintages, and that the extended ARIMA
model-based
approach
generates the smallest and least volatile revisions in …
Persistent link: https://www.econbiz.de/10015373330
Saved in:
2
Revisions in concurrent seasonal adjustments of daily and weekly economic time series
Webel, Karsten
-
2025
across data vintages, and that the extended ARIMA
model-based
approach
generates the smallest and least volatile revisions in …
Persistent link: https://www.econbiz.de/10015373486
Saved in:
3
Model-based reinforcement learning for offline zero-sum Markov games
Yan, Yuling
;
Li, Gen
;
Chen, Yuxin
;
Fan, Jianqing
- In:
Operations research
72
(
2024
)
6
,
pp. 2430-2445
Persistent link: https://www.econbiz.de/10015371449
Saved in:
4
What is a standard error? : (and how should we compute it?)
Wooldridge, Jeffrey M.
- In:
Journal of econometrics
237
(
2023
)
2,1
,
pp. 1-8
Persistent link: https://www.econbiz.de/10014471508
Saved in:
5
A data-driven selection of an appropriate seasonal adjustment approach
Webel, Karsten
-
2016
parametric ARIMA
model-based
approach
to seasonal adjustment for any given time series without the necessity of switching between …
Persistent link: https://www.econbiz.de/10011454019
Saved in:
6
A data-driven selection of an appropriate seasonal adjustment approach
Webel, Karsten
-
2016
parametric ARIMA
model-based
approach
to seasonal adjustment for any given time series without the necessity of switching between …
Persistent link: https://www.econbiz.de/10011452778
Saved in:
7
Backtesting expected shortfall : a simple recipe?
Moldenhauer, Felix
;
Pitera, Marcin
- In:
Journal of risk
22
(
2019
)
1
,
pp. 17-42
Persistent link: https://www.econbiz.de/10013177098
Saved in:
8
Comparing Model-based and Design-based Structural Equation Modeling Approaches in Analyzing Complex Survey Data
Willson, Victor L.
(
contributor
);
Kwok, Oi-man
(
contributor
)
-
2010
-based approach) or perform multilevel analysis to model the multilevel data structure (
Model-based
approach
) to analyze dependent …
Persistent link: https://www.econbiz.de/10009464884
Saved in:
9
Cyclicality of real wages in the USA and Germany: New insights from wavelet analysis
Marczak, Martyna
;
Gómez, Víctor
-
2012
structural time series models and the ARIMA-
model-based
approach
combined with the canonical decomposition and a band-pass filter …
Persistent link: https://www.econbiz.de/10010309235
Saved in:
10
Cyclicality of real wages in the USA and Germany: New insights from wavelet analysis
Marczak, Martyna
;
Gómez, Víctor
-
Forschungszentrum Innovation und Dienstleistung, …
-
2012
structural time series models and the ARIMA-
model-based
approach
combined with the canonical decomposition and a band-pass filter …
Persistent link: https://www.econbiz.de/10010982038
Saved in:
1
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