High-dimensional covariance matrix estimation: an introduction to random matrix theory
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Cham
Springer
[2021]
|
Schriftenreihe: | Springer Briefs in Applied Statistics and Econometrics
|
Beschreibung: | 1st edition originally published electronically on KOPS of the University of Konstanz, 2019 |
Beschreibung: | XIV, 115 Seiten Diagramme |
ISBN: | 9783030800642 |
Internformat
MARC
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003 | DE-604 | ||
005 | 20211116 | ||
007 | t | ||
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035 | |a (OCoLC)1286861267 | ||
035 | |a (DE-599)OBVAC16332156 | ||
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041 | 0 | |a eng | |
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100 | 1 | |a Zagidullina, Aygul |4 aut | |
245 | 1 | 0 | |a High-dimensional covariance matrix estimation |b an introduction to random matrix theory |c Aygul Zagidullina |
264 | 1 | |a Cham |b Springer |c [2021] | |
264 | 4 | |c © 2021 | |
300 | |a XIV, 115 Seiten |b Diagramme | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 0 | |a Springer Briefs in Applied Statistics and Econometrics | |
500 | |a 1st edition originally published electronically on KOPS of the University of Konstanz, 2019 | ||
710 | 2 | |a Springer International Publishing |0 (DE-588)1064344704 |4 pbl | |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-3-030-80065-9 |
999 | |a oai:aleph.bib-bvb.de:BVB01-032961022 |
Datensatz im Suchindex
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author | Zagidullina, Aygul |
author_facet | Zagidullina, Aygul |
author_role | aut |
author_sort | Zagidullina, Aygul |
author_variant | a z az |
building | Verbundindex |
bvnumber | BV047575518 |
ctrlnum | (OCoLC)1286861267 (DE-599)OBVAC16332156 |
format | Book |
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id | DE-604.BV047575518 |
illustrated | Not Illustrated |
index_date | 2024-07-03T18:31:52Z |
indexdate | 2024-07-10T09:15:17Z |
institution | BVB |
institution_GND | (DE-588)1064344704 |
isbn | 9783030800642 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032961022 |
oclc_num | 1286861267 |
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owner_facet | DE-M347 |
physical | XIV, 115 Seiten Diagramme |
publishDate | 2021 |
publishDateSearch | 2021 |
publishDateSort | 2021 |
publisher | Springer |
record_format | marc |
series2 | Springer Briefs in Applied Statistics and Econometrics |
spelling | Zagidullina, Aygul aut High-dimensional covariance matrix estimation an introduction to random matrix theory Aygul Zagidullina Cham Springer [2021] © 2021 XIV, 115 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Springer Briefs in Applied Statistics and Econometrics 1st edition originally published electronically on KOPS of the University of Konstanz, 2019 Springer International Publishing (DE-588)1064344704 pbl Erscheint auch als Online-Ausgabe 978-3-030-80065-9 |
spellingShingle | Zagidullina, Aygul High-dimensional covariance matrix estimation an introduction to random matrix theory |
title | High-dimensional covariance matrix estimation an introduction to random matrix theory |
title_auth | High-dimensional covariance matrix estimation an introduction to random matrix theory |
title_exact_search | High-dimensional covariance matrix estimation an introduction to random matrix theory |
title_exact_search_txtP | High-dimensional covariance matrix estimation an introduction to random matrix theory |
title_full | High-dimensional covariance matrix estimation an introduction to random matrix theory Aygul Zagidullina |
title_fullStr | High-dimensional covariance matrix estimation an introduction to random matrix theory Aygul Zagidullina |
title_full_unstemmed | High-dimensional covariance matrix estimation an introduction to random matrix theory Aygul Zagidullina |
title_short | High-dimensional covariance matrix estimation |
title_sort | high dimensional covariance matrix estimation an introduction to random matrix theory |
title_sub | an introduction to random matrix theory |
work_keys_str_mv | AT zagidullinaaygul highdimensionalcovariancematrixestimationanintroductiontorandommatrixtheory AT springerinternationalpublishing highdimensionalcovariancematrixestimationanintroductiontorandommatrixtheory |