Isbn: 9783031607714 - applied extreme value statistics: with a special focus on the acer method (8 resultados)

ISBN: 
Refinar con la Búsqueda avanzada

Filtrar la búsqueda

  • Libros (8)

  • Nuevo (8)

a

Intervalo de precios personalizado (EUR)

a

  • Idioma: Inglés

    Editorial: Springer, 2025

    3031607716 / 9783031607714

    • Tapa blanda

    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 184,71

    Envío por EUR 35,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book does not focus solely on asymptotic extreme value distributions. In addition to the traditional asymptotic methods, it introduces a data-driven, computer-based method, which provides insights into the exact extreme value distribution inherent in the data, and which avoids asymptotics. It therefore differs from currently available texts on extreme value statistics in one very important aspect. The method described provides a unique tool for diagnostics, and for efficient and accurate extreme value prediction based on measured or simulated data. It also has straightforward extensions to multivariate extreme value distributions.The first half provides an introduction to extreme value statistics with an emphasis on applications. It includes chapters on classical asymptotic theories and threshold exceedance models, with many illustrative examples. The mathematical level is elementary and, to increase readability, detailed mathematical proofs have been avoided in favour of heuristic arguments. The second half presents in some detail specialized topics that illustrate the power and the limitations of the concepts discussed. With diverse applications to science, engineering and finance, the techniques described in this book will be useful to readers from many different backgrounds.…

  • Idioma: Inglés

    Editorial: Springer, 2025

    3031607716 / 9783031607714

    • Tapa blanda

    Librería: Books Puddle, Woodside, NY, Estados Unidos de AmericaBooks Puddle

    Vendedor de 4 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 227,31

    Envío por EUR 3,51 
    Se envía dentro de Estados Unidos de America

    Cantidad disponible: 4 disponibles

    Condición: New.

  • Idioma: Inglés

    Editorial: Springer, 2025

    3031607716 / 9783031607714

    • Tapa blanda
    • Impresión bajo demanda

    Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 134,27

    Envío por EUR 6,80 
    Se envía de Italia a Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

    Condición: new. Questo è un articolo print on demand.

  • Idioma: Inglés

    Editorial: Springer Verlag GmbH, 2025

    3031607716 / 9783031607714

    • Tapa blanda
    • Impresión bajo demanda

    Librería: moluna, Greven, Alemaniamoluna

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 144,94

    Envío por EUR 48,99 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

    Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

  • Idioma: Inglés

    Editorial: Springer, Palgrave Macmillan Jun 2025, 2025

    3031607716 / 9783031607714

    • Tapa blanda
    • Impresión bajo demanda

    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 171,19

    Envío por EUR 23,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 2 disponibles

    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book does not focus solely on asymptotic extreme value distributions. In addition to the traditional asymptotic methods, it introduces a data-driven, computer-based method, which provides insights into the exact extreme value distribution inherent in the data, and which avoids asymptotics. It therefore differs from currently available texts on extreme value statistics in one very important aspect. The method described provides a unique tool for diagnostics, and for efficient and accurate extreme value prediction based on measured or simulated data. It also has straightforward extensions to multivariate extreme value distributions.The first half provides an introduction to extreme value statistics with an emphasis on applications. It includes chapters on classical asymptotic theories and threshold exceedance models, with many illustrative examples. The mathematical level is elementary and, to increase readability, detailed mathematical proofs have been avoided in favour of heuristic arguments. The second half presents in some detail specialized topics that illustrate the power and the limitations of the concepts discussed. With diverse applications to science, engineering and finance, the techniques described in this book will be useful to readers from many different backgrounds. 284 pp. Englisch.…

  • Idioma: Inglés

    Editorial: Springer, Springer Jun 2025, 2025

    3031607716 / 9783031607714

    • Tapa blanda
    • Impresión bajo demanda

    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 171,19

    Envío por EUR 60,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book does not focus solely on asymptotic extreme value distributions. In addition to the traditional asymptotic methods, it introduces a data-driven, computer-based method, which provides insights into the exact extreme value distribution inherent in the data, and which avoids asymptotics. It therefore differs from currently available texts on extreme value statistics in one very important aspect. The method described provides a unique tool for diagnostics, and for efficient and accurate extreme value prediction based on measured or simulated data. It also has straightforward extensions to multivariate extreme value distributions.The first half provides an introduction to extreme value statistics with an emphasis on applications. It includes chapters on classical asymptotic theories and threshold exceedance models, with many illustrative examples. The mathematical level is elementary and, to increase readability, detailed mathematical proofs have been avoided in favour of heuristic arguments. The second half presents in some detail specialized topics that illustrate the power and the limitations of the concepts discussed. With diverse applications to science, engineering and finance, the techniques described in this book will be useful to readers from many different backgrounds.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 284 pp. Englisch.…

  • Idioma: Inglés

    Editorial: Springer, 2025

    3031607716 / 9783031607714

    • Tapa blanda
    • Impresión bajo demanda

    Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

    Vendedor de 4 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 238,74

    Envío por EUR 7,58 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: 4 disponibles

    Condición: New. Print on Demand.

  • Idioma: Inglés

    Editorial: Springer, 2025

    3031607716 / 9783031607714

    • Tapa blanda
    • Impresión bajo demanda

    Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

    Vendedor de 4 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 239,18

    Envío por EUR 9,95 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 4 disponibles

    Condición: New. PRINT ON DEMAND.