Naess A Applied Extreme Value Statistics Special Focus on the ACER Method 2024
Category: eBooks
- views: 69
- date: 18 June 2024
- posted by: BeMyLove
Naess A Applied Extreme Value Statistics Special Focus on the ACER Method 2024 | 8.26 MB
277 Pages
Title: Applied Extreme Value Statistics
Author: Arvid Naess
Description:
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.
DOWNLOAD:
https://rapidgator.net/file/a43a9a27a805077defd1580ce782bbc3/Naess_A._Applied_Extreme_Value_Statistics..Special_Focus_on_the_ACER_Method_2024.rar
https://k2s.cc/file/96f39b2bf6d95/Naess_A._Applied_Extreme_Value_Statistics..Special_Focus_on_the_ACER_Method_2024.rar
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.
DOWNLOAD:
https://rapidgator.net/file/a43a9a27a805077defd1580ce782bbc3/Naess_A._Applied_Extreme_Value_Statistics..Special_Focus_on_the_ACER_Method_2024.rar
https://k2s.cc/file/96f39b2bf6d95/Naess_A._Applied_Extreme_Value_Statistics..Special_Focus_on_the_ACER_Method_2024.rar
We need your support!
Make a donation to help us stay online
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem
Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u
USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm
Information |
|||
 |
Users of GUESTS are not allowed to comment this publication. | ||