Time series analysis by state space methods:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Oxford
Oxford University Press
2012
|
| Ausgabe: | Second edition |
| Schriftenreihe: | Oxford statistical science series
38 |
| Schlagworte: | |
| Online-Zugang: | DE-1046 DE-1047 DE-355 DE-703 Volltext |
| Beschreibung: | Published to Oxford Scholarship Online: December 2013 |
| Beschreibung: | 1 Online-Ressource (xxi, 346 Seiten) Illustrationen |
| ISBN: | 9780191774881 9780191627187 |
| DOI: | 10.1093/acprof:oso/9780199641178.001.0001 |
Internformat
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Datensatz im Suchindex
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| author | Durbin, James 1923-2012 Koopman, Siem Jan |
| author_GND | (DE-588)170383393 (DE-588)171047141 |
| author_facet | Durbin, James 1923-2012 Koopman, Siem Jan |
| author_role | aut aut |
| author_sort | Durbin, James 1923-2012 |
| author_variant | j d jd s j k sj sjk |
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| bvnumber | BV043028354 |
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| contents | This is a comprehensive treatment of the state space approach to time series analysis. A distinguishing feature of state space time series models is that observations are regarded as made up of distinct components, which are each modelled separately |
| ctrlnum | (OCoLC)794856270 (DE-599)BVBBV043028354 |
| dewey-full | 519.55 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.55 |
| dewey-search | 519.55 |
| dewey-sort | 3519.55 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik Wirtschaftswissenschaften |
| doi_str_mv | 10.1093/acprof:oso/9780199641178.001.0001 |
| edition | Second edition |
| format | Electronic eBook |
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| id | DE-604.BV043028354 |
| illustrated | Not Illustrated |
| indexdate | 2024-09-17T06:00:16Z |
| institution | BVB |
| isbn | 9780191774881 9780191627187 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028453007 |
| oclc_num | 794856270 |
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| physical | 1 Online-Ressource (xxi, 346 Seiten) Illustrationen |
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| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | Oxford University Press |
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| spelling | Durbin, James 1923-2012 Verfasser (DE-588)170383393 aut Time series analysis by state space methods James Durbin and Siem Jan Koopman Second edition Oxford Oxford University Press 2012 1 Online-Ressource (xxi, 346 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Oxford statistical science series 38 Published to Oxford Scholarship Online: December 2013 This is a comprehensive treatment of the state space approach to time series analysis. A distinguishing feature of state space time series models is that observations are regarded as made up of distinct components, which are each modelled separately MATHEMATICS / Probability & Statistics / Time Series bisacsh State-space methods fast Time-series analysis fast Time-series analysis State-space methods Zustandsraum (DE-588)4132647-7 gnd rswk-swf Zeitreihenanalyse (DE-588)4067486-1 gnd rswk-swf Zeitreihenanalyse (DE-588)4067486-1 s Zustandsraum (DE-588)4132647-7 s DE-604 Koopman, Siem Jan Verfasser (DE-588)171047141 aut Erscheint auch als Druck-Ausgabe, Festeinband 978-0-19-964117-8 (DE-604)BV040398722 Oxford statistical science series 38 (DE-604)BV044375182 38 https://doi.org/10.1093/acprof:oso/9780199641178.001.0001 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Durbin, James 1923-2012 Koopman, Siem Jan Time series analysis by state space methods Oxford statistical science series This is a comprehensive treatment of the state space approach to time series analysis. A distinguishing feature of state space time series models is that observations are regarded as made up of distinct components, which are each modelled separately MATHEMATICS / Probability & Statistics / Time Series bisacsh State-space methods fast Time-series analysis fast Time-series analysis State-space methods Zustandsraum (DE-588)4132647-7 gnd Zeitreihenanalyse (DE-588)4067486-1 gnd |
| subject_GND | (DE-588)4132647-7 (DE-588)4067486-1 |
| title | Time series analysis by state space methods |
| title_auth | Time series analysis by state space methods |
| title_exact_search | Time series analysis by state space methods |
| title_full | Time series analysis by state space methods James Durbin and Siem Jan Koopman |
| title_fullStr | Time series analysis by state space methods James Durbin and Siem Jan Koopman |
| title_full_unstemmed | Time series analysis by state space methods James Durbin and Siem Jan Koopman |
| title_short | Time series analysis by state space methods |
| title_sort | time series analysis by state space methods |
| topic | MATHEMATICS / Probability & Statistics / Time Series bisacsh State-space methods fast Time-series analysis fast Time-series analysis State-space methods Zustandsraum (DE-588)4132647-7 gnd Zeitreihenanalyse (DE-588)4067486-1 gnd |
| topic_facet | MATHEMATICS / Probability & Statistics / Time Series State-space methods Time-series analysis Zustandsraum Zeitreihenanalyse |
| url | https://doi.org/10.1093/acprof:oso/9780199641178.001.0001 |
| volume_link | (DE-604)BV044375182 |
| work_keys_str_mv | AT durbinjames timeseriesanalysisbystatespacemethods AT koopmansiemjan timeseriesanalysisbystatespacemethods |