Analyzing dependent data with vine copulas: a practical guide with R
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Cham
Springer
2019
|
Schriftenreihe: | Lecture notes in statistics
volume 222 |
Schlagworte: | |
Beschreibung: | xxix, 242 Seiten Diagramme |
ISBN: | 9783030137847 |
ISSN: | 0930-0325 |
Internformat
MARC
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245 | 1 | 0 | |a Analyzing dependent data with vine copulas |b a practical guide with R |c Claudia Czado |
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300 | |a xxix, 242 Seiten |b Diagramme | ||
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650 | 4 | |a Statistics for Life Sciences, Medicine, Health Sciences | |
650 | 4 | |a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences | |
650 | 4 | |a Big Data/Analytics | |
650 | 4 | |a Statistics and Computing/Statistics Programs | |
650 | 4 | |a Mathematical statistics | |
650 | 4 | |a Statistics | |
650 | 4 | |a Big data | |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-3-030-13785-4 |
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Datensatz im Suchindex
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any_adam_object | |
author | Czado, Claudia |
author_facet | Czado, Claudia |
author_role | aut |
author_sort | Czado, Claudia |
author_variant | c c cc |
building | Verbundindex |
bvnumber | BV045949324 |
classification_rvk | SI 856 |
ctrlnum | (OCoLC)1107346237 (DE-599)BVBBV045949324 |
dewey-full | 519.5 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.5 |
dewey-search | 519.5 |
dewey-sort | 3519.5 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
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id | DE-604.BV045949324 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:31:18Z |
institution | BVB |
isbn | 9783030137847 |
issn | 0930-0325 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031331443 |
oclc_num | 1107346237 |
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owner_facet | DE-824 DE-19 DE-BY-UBM DE-83 |
physical | xxix, 242 Seiten Diagramme |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | Springer |
record_format | marc |
series | Lecture notes in statistics |
series2 | Lecture notes in statistics |
spelling | Czado, Claudia Verfasser aut Analyzing dependent data with vine copulas a practical guide with R Claudia Czado Cham Springer 2019 xxix, 242 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Lecture notes in statistics volume 222 0930-0325 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 Erscheint auch als Online-Ausgabe 978-3-030-13785-4 Lecture notes in statistics volume 222 (DE-604)BV002447846 222 |
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 |
volume_link | (DE-604)BV002447846 |
work_keys_str_mv | AT czadoclaudia analyzingdependentdatawithvinecopulasapracticalguidewithr |