Titolo: |
Compositional data analysis : CoDaWork, l’Escala, Spain, june 2015 / Josep Antoni Martín-Fernández, Santiago Thió-Henestrosa editors
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Pubblicazione: |
[Cham], : Springer, 2016 |
Titolo uniforme: |
Compositional data analysis
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Descrizione fisica: |
X, 209 p. : ill. ; 24 cm |
Soggetto topico: |
35-XX - Partial differential equations [MSC 2020] |
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62-XX - Statistics [MSC 2020] |
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62F03 - Parametric hypothesis testing [MSC 2020] |
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62Hxx - Multivariate analysis [MSC 2020] |
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62R07 - Statistical aspects of big data and data science [MSC 2020] |
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62Pxx - Applications of statistics [MSC 2020] |
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62Jxx - Linear inference, regression [MSC 2020] |
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62E20 - Asymptotic distribution theory in statistics [MSC 2020] |
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68T09 - Computational aspects of data analysis and big data [MSC 2020] |
Soggetto non controllato: |
Applications in computer science |
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Applications in geochemistry |
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Applications in the life sciences |
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Compositional data |
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Constrained data |
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Geochemical data |
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Log-ratio approach |
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Log-ratio transformation |
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Multivariate statistics |
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Statistical modeling of compositional data |
Persona (resp. second.): |
Martín-Fernández, Josep Antoni |
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Thió-Henestrosa, Santiago |
Titolo autorizzato: |
Compositional data analysis |
Formato: |
Materiale a stampa |
Livello bibliografico |
Monografia |
Lingua di pubblicazione: |
Inglese |
Record Nr.: | VAN0114539 |
Lo trovi qui: | Univ. Vanvitelli |
Localizzazioni e accesso elettronico |
http://dx.doi.org/10.1007/978-3-319-44811-4 |
Opac: |
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