Analyzing dependent data with vine copulas: a practical guide with R
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
[2019]
|
| Schriftenreihe: | Lecture notes in statistics
volume 222 |
| Schlagworte: | |
| Online-Zugang: | BTU01 FHN01 FHR01 FRO01 FWS01 FWS02 HTW01 TUM01 UBA01 UBM01 UBT01 UBW01 UEI01 UPA01 Volltext |
| Beschreibung: | 1 Online-Ressource (xxix, 242 Seiten) Illustrationen, Diagramme (teilweise farbig) |
| ISBN: | 9783030137854 |
| ISSN: | 2197-7186 |
| DOI: | 10.1007/978-3-030-13785-4 |
Internformat
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Datensatz im Suchindex
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| author | Czado, Claudia |
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| id | DE-604.BV045913851 |
| illustrated | Not Illustrated |
| indexdate | 2025-02-20T06:58:18Z |
| institution | BVB |
| isbn | 9783030137854 |
| issn | 2197-7186 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031296387 |
| oclc_num | 1104857368 |
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| physical | 1 Online-Ressource (xxix, 242 Seiten) Illustrationen, Diagramme (teilweise farbig) |
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| publishDate | 2019 |
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| publishDateSort | 2019 |
| publisher | Springer |
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| series | Lecture notes in statistics |
| series2 | Lecture notes in statistics |
| spellingShingle | Czado, Claudia Analyzing dependent data with vine copulas a practical guide with R Lecture notes in statistics Statistical Theory and Methods Statistics for Business, Management, Economics, Finance, Insurance Statistics for Life Sciences, Medicine, Health Sciences Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Big Data/Analytics Statistics and Computing/Statistics Programs Mathematical statistics Statistics Big data |
| title | Analyzing dependent data with vine copulas a practical guide with R |
| title_auth | Analyzing dependent data with vine copulas a practical guide with R |
| title_exact_search | Analyzing dependent data with vine copulas a practical guide with R |
| title_full | Analyzing dependent data with vine copulas a practical guide with R Claudia Czado |
| title_fullStr | Analyzing dependent data with vine copulas a practical guide with R Claudia Czado |
| title_full_unstemmed | Analyzing dependent data with vine copulas a practical guide with R Claudia Czado |
| title_short | Analyzing dependent data with vine copulas |
| title_sort | analyzing dependent data with vine copulas a practical guide with r |
| title_sub | a practical guide with R |
| topic | Statistical Theory and Methods Statistics for Business, Management, Economics, Finance, Insurance Statistics for Life Sciences, Medicine, Health Sciences Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Big Data/Analytics Statistics and Computing/Statistics Programs Mathematical statistics Statistics Big data |
| topic_facet | Statistical Theory and Methods Statistics for Business, Management, Economics, Finance, Insurance Statistics for Life Sciences, Medicine, Health Sciences Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Big Data/Analytics Statistics and Computing/Statistics Programs Mathematical statistics Statistics Big data |
| url | https://doi.org/10.1007/978-3-030-13785-4 |
| volume_link | (DE-604)BV036592911 |
| work_keys_str_mv | AT czadoclaudia analyzingdependentdatawithvinecopulasapracticalguidewithr |