- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISBN
-
9783540979142
354097914X
9780387979144
038797914X
- Extent
-
382 S.
- Language
-
Englisch
- Notes
-
graph. Darst.
- Bibliographic citation
-
New directions in time series analysis
The IMA volumes in mathematics and its applications / University of Minnesota ; Vol. 46
- Event
-
Veröffentlichung
- (where)
-
New York, Berlin, Heidelberg, London, Paris, Tokyo, Hong Kong, Barcelona, Budapest
- (who)
-
Springer
- (when)
-
1993
- Table of contents
- Rights
-
Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Last update
-
11.06.2025, 1:45 PM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Springer
Time of origin
- 1993
Other Objects (12)
New directions in time series analysis, Pt. 1.
Flexible time series analysis
Multiple time series analysis
Nonlinear time series analysis
Multiple Time Series Analysis
Flexible Time Series Analysis
Explainable AI for Time Series Classification : A Review, Taxonomy and Research Directions
TimeSeriesPaths : Projection-Based Explorative Analysis of Multivariate Time Series Data
catch22: CAnonical Time-series CHaracteristics : Selected through highly comparative time-series analysis
Singular spectrum analysis for time series
The practice of time series analysis
Smoothness priors analysis of time series
New directions in time series analysis, Pt. 1.
Flexible time series analysis
Multiple time series analysis
Nonlinear time series analysis
Multiple Time Series Analysis
Flexible Time Series Analysis
Explainable AI for Time Series Classification : A Review, Taxonomy and Research Directions
TimeSeriesPaths : Projection-Based Explorative Analysis of Multivariate Time Series Data
catch22: CAnonical Time-series CHaracteristics : Selected through highly comparative time-series analysis
Singular spectrum analysis for time series
The practice of time series analysis
Smoothness priors analysis of time series
New directions in time series analysis, Pt. 1.
Flexible time series analysis
Multiple time series analysis
Nonlinear time series analysis
Multiple Time Series Analysis
Flexible Time Series Analysis
Explainable AI for Time Series Classification : A Review, Taxonomy and Research Directions
TimeSeriesPaths : Projection-Based Explorative Analysis of Multivariate Time Series Data
catch22: CAnonical Time-series CHaracteristics : Selected through highly comparative time-series analysis
Singular spectrum analysis for time series
The practice of time series analysis