Applied Extreme Value Statistics : With a Special Focus on the ACER Method
Language: English
Published by Springer, 2025
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 163.22
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Add to basketItem description from seller
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.…
Seller Inventory # 9783031607714
- Title
- Applied Extreme Value Statistics : With a Special Focus on the ACER Method
- Author
- Arvid Naess
- Publisher
- Springer
- Publication year
- 2025
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3031607716
- ISBN 13
- 9783031607714
- Item weight
- 435 grams
- Dimensions
- 235x155x16 mm
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.
"Synopsis" may belong to another edition of this title.
About the Author
Arvid Naess is Professor of Statistics at the Norwegian University of Science and Technology in Trondheim, Norway. Over many years he has worked on a wide range of problems related to the application of probability and statistics in science and engineering. He is a recipient of the Alfred M. Freudenthal Medal from ASCE, and a Fellow of ASCE, ASME, EMI. He is an elected member of The Royal Norwegian Society (DKNVS) and The Norwegian Academy of Technological Sciences (NTVA).
"About the title" may belong to another edition of this title.
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