- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISBN
-
9783540962632
3540962638
9780387962634
0387962638
- Maße
-
25 cm
- Umfang
-
VII, 236 S.
- Sprache
-
Englisch
- Schlagwort
-
Stationärer Prozess
Spektralanalyse
ARMA-Modell
Stochastischer Prozeß
Stochastischer Prozess
- Ereignis
-
Veröffentlichung
- (wo)
-
New York, Berlin, Heidelberg, Tokyo
- (wer)
-
Springer
- (wann)
-
1986
- Urheber
- Beteiligte Personen und Organisationen
-
Azencott, Robert
- Inhaltsverzeichnis
- Rechteinformation
-
Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Letzte Aktualisierung
-
11.06.2025, 14:08 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Azencott, Robert
- Dacunha-Castelle, Didier
- Azencott, Robert
- Springer
Entstanden
- 1986
Ähnliche Objekte (12)
Disentangling irregular cycles in economic time series
Disentangling irregular cycles in economic time series
Frequency-based ensemble forecasting model for time series forecasting
Similarity estimators for irregular and age-uncertain time series
Real-time solar PV generation in a building using LSTM-based time series forecasting
Forecasting large-scale time series data
Time-series forecasting through recurrent topology
Explainable adaptation of time series forecasting
Efficient Forecasting for Hierarchical Time Series
Forecasting time series with multivariate copulas
Forecasting Large-scale Time Series Data
Energy time series forecasting : efficient and accurate forecasting of evolving time series from the energy domain
Disentangling irregular cycles in economic time series
Disentangling irregular cycles in economic time series
Frequency-based ensemble forecasting model for time series forecasting
Similarity estimators for irregular and age-uncertain time series
Real-time solar PV generation in a building using LSTM-based time series forecasting
Forecasting large-scale time series data
Time-series forecasting through recurrent topology
Explainable adaptation of time series forecasting
Efficient Forecasting for Hierarchical Time Series
Forecasting time series with multivariate copulas
Forecasting Large-scale Time Series Data
Energy time series forecasting : efficient and accurate forecasting of evolving time series from the energy domain
Disentangling irregular cycles in economic time series
Disentangling irregular cycles in economic time series
Frequency-based ensemble forecasting model for time series forecasting
Similarity estimators for irregular and age-uncertain time series
Real-time solar PV generation in a building using LSTM-based time series forecasting
Forecasting large-scale time series data
Time-series forecasting through recurrent topology
Explainable adaptation of time series forecasting
Efficient Forecasting for Hierarchical Time Series
Forecasting time series with multivariate copulas
Forecasting Large-scale Time Series Data