A random forest-based approach to identifying the most informative seasonality tests:
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Buch |
Sprache: | English German |
Veröffentlicht: |
Frankfurt am Main
Deutsche Bundesbank
[2020]
|
Schriftenreihe: | Discussion paper / Deutsche Bundesbank
no 55/2020 |
Beschreibung: | Zusammenfassung in deutscher und englischer Sprache |
Beschreibung: | 31 Seiten Diagramme |
ISBN: | 9783957297792 |
Internformat
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Datensatz im Suchindex
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adam_txt | |
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author | Ollech, Daniel Webel, Karsten |
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building | Verbundindex |
bvnumber | BV046957778 |
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ctrlnum | (OCoLC)1204400000 (DE-599)BVBBV046957778 |
discipline | Wirtschaftswissenschaften |
discipline_str_mv | Wirtschaftswissenschaften |
format | Book |
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illustrated | Not Illustrated |
index_date | 2024-07-03T15:43:08Z |
indexdate | 2024-07-10T08:58:35Z |
institution | BVB |
isbn | 9783957297792 |
language | English German |
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physical | 31 Seiten Diagramme |
publishDate | 2020 |
publishDateSearch | 2020 |
publishDateSort | 2020 |
publisher | Deutsche Bundesbank |
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series2 | Discussion paper / Deutsche Bundesbank |
spelling | Ollech, Daniel Verfasser (DE-588)1170922120 aut A random forest-based approach to identifying the most informative seasonality tests Daniel Ollech, Karten Webel Frankfurt am Main Deutsche Bundesbank [2020] 31 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Discussion paper / Deutsche Bundesbank no 55/2020 Zusammenfassung in deutscher und englischer Sprache Webel, Karsten Verfasser (DE-588)101689435X aut Erscheint auch als Online-Ausgabe 978-3-95729-780-8 Deutsche Bundesbank Discussion paper no 55/2020 (DE-604)BV040156046 2020,55 |
spellingShingle | Ollech, Daniel Webel, Karsten A random forest-based approach to identifying the most informative seasonality tests |
title | A random forest-based approach to identifying the most informative seasonality tests |
title_auth | A random forest-based approach to identifying the most informative seasonality tests |
title_exact_search | A random forest-based approach to identifying the most informative seasonality tests |
title_exact_search_txtP | A random forest-based approach to identifying the most informative seasonality tests |
title_full | A random forest-based approach to identifying the most informative seasonality tests Daniel Ollech, Karten Webel |
title_fullStr | A random forest-based approach to identifying the most informative seasonality tests Daniel Ollech, Karten Webel |
title_full_unstemmed | A random forest-based approach to identifying the most informative seasonality tests Daniel Ollech, Karten Webel |
title_short | A random forest-based approach to identifying the most informative seasonality tests |
title_sort | a random forest based approach to identifying the most informative seasonality tests |
volume_link | (DE-604)BV040156046 |
work_keys_str_mv | AT ollechdaniel arandomforestbasedapproachtoidentifyingthemostinformativeseasonalitytests AT webelkarsten arandomforestbasedapproachtoidentifyingthemostinformativeseasonalitytests |