Geometric data analysis: advancements of the statistical methodology and applications
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin
2023
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 1 Online-Ressource (xii, 180 Seiten) Illustrationen |
Internformat
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| 650 | 4 | |a Bézier splines | |
| 650 | 4 | |a Non-metric statistics in Lie groups | |
| 650 | 4 | |a Shape analysis | |
| 650 | 4 | |a Higher-order regression in manifolds | |
| 650 | 4 | |a Hierarchical statistical model | |
| 650 | 4 | |a Bi-invariant dissimilarity measures | |
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Datensatz im Suchindex
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| index_date | 2024-07-03T22:30:21Z |
| indexdate | 2024-07-10T09:55:07Z |
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| language | English |
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| physical | 1 Online-Ressource (xii, 180 Seiten) Illustrationen |
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| spelling | Hanik, Martin Verfasser (DE-588)1298750911 aut Geometric data analysis advancements of the statistical methodology and applications vorgelegt von Martin Hanik Berlin 2023 1 Online-Ressource (xii, 180 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Dissertation Freie Universität Berlin 2023 Geometric statistics Bézier splines Non-metric statistics in Lie groups Shape analysis Higher-order regression in manifolds Hierarchical statistical model Bi-invariant dissimilarity measures (DE-588)4113937-9 Hochschulschrift gnd-content Erscheint auch als Druck-Ausgabe Hanik, Martin Geometric data analysis (DE-604)BV049092911 https://refubium.fu-berlin.de/handle/fub188/40087 Resolving-System kostenfrei Volltext |
| spellingShingle | Hanik, Martin Geometric data analysis advancements of the statistical methodology and applications Geometric statistics Bézier splines Non-metric statistics in Lie groups Shape analysis Higher-order regression in manifolds Hierarchical statistical model Bi-invariant dissimilarity measures |
| subject_GND | (DE-588)4113937-9 |
| title | Geometric data analysis advancements of the statistical methodology and applications |
| title_auth | Geometric data analysis advancements of the statistical methodology and applications |
| title_exact_search | Geometric data analysis advancements of the statistical methodology and applications |
| title_exact_search_txtP | Geometric data analysis advancements of the statistical methodology and applications |
| title_full | Geometric data analysis advancements of the statistical methodology and applications vorgelegt von Martin Hanik |
| title_fullStr | Geometric data analysis advancements of the statistical methodology and applications vorgelegt von Martin Hanik |
| title_full_unstemmed | Geometric data analysis advancements of the statistical methodology and applications vorgelegt von Martin Hanik |
| title_short | Geometric data analysis |
| title_sort | geometric data analysis advancements of the statistical methodology and applications |
| title_sub | advancements of the statistical methodology and applications |
| topic | Geometric statistics Bézier splines Non-metric statistics in Lie groups Shape analysis Higher-order regression in manifolds Hierarchical statistical model Bi-invariant dissimilarity measures |
| topic_facet | Geometric statistics Bézier splines Non-metric statistics in Lie groups Shape analysis Higher-order regression in manifolds Hierarchical statistical model Bi-invariant dissimilarity measures Hochschulschrift |
| url | https://refubium.fu-berlin.de/handle/fub188/40087 |
| work_keys_str_mv | AT hanikmartin geometricdataanalysisadvancementsofthestatisticalmethodologyandapplications |