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Añadir al carritoHardcover. Condición: Brand New. 244 pages. 9.25x6.10x9.21 inches. In Stock.
Idioma: Inglés
Publicado por Springer Nature Switzerland, 2024
ISBN 10: 3031575989 ISBN 13: 9783031575983
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 64,19
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This text gives a comprehensive, largely self-contained treatment of multivariate heavy tail analysis. Emphasizing regular variation of measures means theory can be presented systematically and without regard to dimension. Tools are developed that allow a flexible definition of 'extreme' in higher dimensions and permit different heavy tails to coexist on the same state space leading to 'hidden regular variation' and 'steroidal regular variation'. This emphasizes when estimating risks, it is important to choose the appropriate heavy tail. Theoretical foundations lead naturally to statistical techniques; examples are drawn from risk estimation, finance, climatology and network analysis. Treatments target a broad audience in insurance, finance, data analysis, network science and probability modeling. The prerequisites are modest knowledge of analysis and familiarity with the definition of a measure; regular variation of functions is reviewed but is not a focal point.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Springer Nature Switzerland, Springer Nature Switzerland Aug 2024, 2024
ISBN 10: 3031575989 ISBN 13: 9783031575983
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 64,19
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This text gives a comprehensive, largely self-contained treatment of multivariate heavy tail analysis. Emphasizing regular variation of measures means theory can be presented systematically and without regard to dimension. Tools are developed that allow a flexible definition of 'extreme' in higher dimensions and permit different heavy tails to coexist on the same state space leading to 'hidden regular variation' and 'steroidal regular variation'. This emphasizes when estimating risks, it is important to choose the appropriate heavy tail. Theoretical foundations lead naturally to statistical techniques; examples are drawn from risk estimation, finance, climatology and network analysis. Treatments target a broad audience in insurance, finance, data analysis, network science and probability modeling. The prerequisites are modest knowledge of analysis and familiarity with the definition of a measure; regular variation of functions is reviewed but is not a focal point. 276 pp. Englisch.
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Añadir al carritoCondición: New. Print on Demand pp. 276.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 276.
Idioma: Inglés
Publicado por Springer, Berlin|Springer Nature Switzerland|Springer, 2024
ISBN 10: 3031575989 ISBN 13: 9783031575983
Librería: moluna, Greven, Alemania
EUR 55,78
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This text gives a comprehensive, largely self-contained treatment of multivariate heavy tail analysis. Emphasizing regular variation of measures means theory can be presented systematically and without regard to dimension. Tools are developed that allow .
Idioma: Inglés
Publicado por Springer, Birkhäuser Aug 2024, 2024
ISBN 10: 3031575989 ISBN 13: 9783031575983
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 64,19
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This text gives a comprehensive, largely self-contained treatment of multivariate heavy tail analysis. Emphasizing regular variation of measures means theory can be presented systematically and without regard to dimension. Tools are developed that allow a flexible definition of 'extreme' in higher dimensions and permit different heavy tails to coexist on the same state space leading to 'hidden regular variation' and 'steroidal regular variation'. This emphasizes when estimating risks, it is important to choose the appropriate heavy tail. Theoretical foundations lead naturally to statistical techniques; examples are drawn from risk estimation, finance, climatology and network analysis. Treatments target a broad audience in insurance, finance, data analysis, network science and probability modeling. The prerequisites are modest knowledge of analysis and familiarity with the definition of a measure; regular variation of functions is reviewed but is not a focal point.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 276 pp. Englisch.