Bayesian approaches for modelling flood damage processes:
Gespeichert in:
1. Verfasser: | |
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Format: | Abschlussarbeit Buch |
Sprache: | English |
Veröffentlicht: |
Berlin
[2020?]
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Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | Datum der Einreichung: 15/03/2020, Datum der Promotion: 3/11/2020 |
Beschreibung: | XII, 149 Seiten Illustrationen, Diagramme, Karten (teilweise farbig) |
Internformat
MARC
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Datensatz im Suchindex
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adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Sairam, Nivedita |
author_GND | (DE-588)1240281757 |
author_facet | Sairam, Nivedita |
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author_sort | Sairam, Nivedita |
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discipline | Allgemeines Geographie |
discipline_str_mv | Allgemeines Geographie |
format | Thesis Book |
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illustrated | Illustrated |
index_date | 2024-07-03T19:31:00Z |
indexdate | 2024-07-10T09:24:51Z |
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language | English |
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physical | XII, 149 Seiten Illustrationen, Diagramme, Karten (teilweise farbig) |
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spelling | Sairam, Nivedita Verfasser (DE-588)1240281757 aut Bayesian approaches for modelling flood damage processes von Nivedita Sairam Berlin [2020?] XII, 149 Seiten Illustrationen, Diagramme, Karten (teilweise farbig) txt rdacontent n rdamedia nc rdacarrier Datum der Einreichung: 15/03/2020, Datum der Promotion: 3/11/2020 Dissertation Humboldt-Universität zu Berlin 2020 Statistik (DE-588)4056995-0 gnd rswk-swf Hochwasser (DE-588)4025289-9 gnd rswk-swf Prävention (DE-588)4076308-0 gnd rswk-swf Hochwasserschaden (DE-588)4257648-9 gnd rswk-swf Risiko (DE-588)4050129-2 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Hochwasser (DE-588)4025289-9 s Risiko (DE-588)4050129-2 s Hochwasserschaden (DE-588)4257648-9 s Statistik (DE-588)4056995-0 s Prävention (DE-588)4076308-0 s DE-604 Erscheint auch als Online-Ausgabe Sairam, Nivedita Bayesian approaches for modelling flood damage processes urn:nbn:de:kobv:11-110-18452/23902-2 (DE-604)BV047447487 http://edoc.hu-berlin.de/18452/23902 Verlag kostenfrei Volltext |
spellingShingle | Sairam, Nivedita Bayesian approaches for modelling flood damage processes Statistik (DE-588)4056995-0 gnd Hochwasser (DE-588)4025289-9 gnd Prävention (DE-588)4076308-0 gnd Hochwasserschaden (DE-588)4257648-9 gnd Risiko (DE-588)4050129-2 gnd |
subject_GND | (DE-588)4056995-0 (DE-588)4025289-9 (DE-588)4076308-0 (DE-588)4257648-9 (DE-588)4050129-2 (DE-588)4113937-9 |
title | Bayesian approaches for modelling flood damage processes |
title_auth | Bayesian approaches for modelling flood damage processes |
title_exact_search | Bayesian approaches for modelling flood damage processes |
title_exact_search_txtP | Bayesian approaches for modelling flood damage processes |
title_full | Bayesian approaches for modelling flood damage processes von Nivedita Sairam |
title_fullStr | Bayesian approaches for modelling flood damage processes von Nivedita Sairam |
title_full_unstemmed | Bayesian approaches for modelling flood damage processes von Nivedita Sairam |
title_short | Bayesian approaches for modelling flood damage processes |
title_sort | bayesian approaches for modelling flood damage processes |
topic | Statistik (DE-588)4056995-0 gnd Hochwasser (DE-588)4025289-9 gnd Prävention (DE-588)4076308-0 gnd Hochwasserschaden (DE-588)4257648-9 gnd Risiko (DE-588)4050129-2 gnd |
topic_facet | Statistik Hochwasser Prävention Hochwasserschaden Risiko Hochschulschrift |
url | http://edoc.hu-berlin.de/18452/23902 |
work_keys_str_mv | AT sairamnivedita bayesianapproachesformodellingflooddamageprocesses |