Annals issue in honor of George Tiao: statistical learning for dependent data
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Amsterdam
Elsevier
[2020]
|
| Schriftenreihe: | Journal of econometrics
volume 216, issue 1 (May 2020) |
| Schlagwörter: | |
| Umfang: | 325 Seiten Illustrationen, Diagramme |
Internformat
MARC
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| 245 | 1 | 0 | |a Annals issue in honor of George Tiao |b statistical learning for dependent data |c edited by Rong Chen, Ruey Tsay |
| 246 | 1 | 3 | |a In honor of George Tiao : statistical learning for dependent data |
| 264 | 1 | |a Amsterdam |b Elsevier |c [2020] | |
| 264 | 4 | |c © 2020 | |
| 300 | |a 325 Seiten |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Journal of econometrics |v volume 216, issue 1 (May 2020) | |
| 655 | 7 | |0 (DE-588)4143413-4 |a Aufsatzsammlung |2 gnd-content | |
| 655 | 7 | |0 (DE-588)4016928-5 |a Festschrift |2 gnd-content | |
| 700 | 1 | |a Chen, Rong |d 1963- |0 (DE-588)130550078 |4 edt |4 aut | |
| 700 | 1 | |a Tsay, Ruey S. |d 1951- |0 (DE-588)13189160X |4 edt |4 aut | |
| 700 | 1 | |a Tiao, George C. |d 1933- |0 (DE-588)128356804 |4 hnr | |
| 830 | 0 | |a Journal of econometrics |v volume 216, issue 1 (May 2020) |w (DE-604)BV002541333 |9 216,1 | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-032115370 | |
Datensatz im Suchindex
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|---|---|
| any_adam_object | |
| author | Chen, Rong 1963- Tsay, Ruey S. 1951- |
| author2 | Chen, Rong 1963- Tsay, Ruey S. 1951- |
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| author_facet | Chen, Rong 1963- Tsay, Ruey S. 1951- Chen, Rong 1963- Tsay, Ruey S. 1951- |
| author_role | aut aut |
| author_sort | Chen, Rong 1963- |
| author_variant | r c rc r s t rs rst |
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| id | DE-604.BV046704899 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T18:58:40Z |
| institution | BVB |
| language | English |
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| physical | 325 Seiten Illustrationen, Diagramme |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Elsevier |
| record_format | marc |
| series | Journal of econometrics |
| series2 | Journal of econometrics |
| spelling | Annals issue in honor of George Tiao statistical learning for dependent data edited by Rong Chen, Ruey Tsay In honor of George Tiao : statistical learning for dependent data Amsterdam Elsevier [2020] © 2020 325 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Journal of econometrics volume 216, issue 1 (May 2020) (DE-588)4143413-4 Aufsatzsammlung gnd-content (DE-588)4016928-5 Festschrift gnd-content Chen, Rong 1963- (DE-588)130550078 edt aut Tsay, Ruey S. 1951- (DE-588)13189160X edt aut Tiao, George C. 1933- (DE-588)128356804 hnr Journal of econometrics volume 216, issue 1 (May 2020) (DE-604)BV002541333 216,1 |
| spellingShingle | Chen, Rong 1963- Tsay, Ruey S. 1951- Annals issue in honor of George Tiao statistical learning for dependent data Journal of econometrics |
| subject_GND | (DE-588)4143413-4 (DE-588)4016928-5 |
| title | Annals issue in honor of George Tiao statistical learning for dependent data |
| title_alt | In honor of George Tiao : statistical learning for dependent data |
| title_auth | Annals issue in honor of George Tiao statistical learning for dependent data |
| title_exact_search | Annals issue in honor of George Tiao statistical learning for dependent data |
| title_full | Annals issue in honor of George Tiao statistical learning for dependent data edited by Rong Chen, Ruey Tsay |
| title_fullStr | Annals issue in honor of George Tiao statistical learning for dependent data edited by Rong Chen, Ruey Tsay |
| title_full_unstemmed | Annals issue in honor of George Tiao statistical learning for dependent data edited by Rong Chen, Ruey Tsay |
| title_short | Annals issue in honor of George Tiao |
| title_sort | annals issue in honor of george tiao statistical learning for dependent data |
| title_sub | statistical learning for dependent data |
| topic_facet | Aufsatzsammlung Festschrift |
| volume_link | (DE-604)BV002541333 |
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