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Extreme Value Modeling and Risk Analysis - Methods and Applications (Hardcover)
Loot Price: R3,511
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Extreme Value Modeling and Risk Analysis - Methods and Applications (Hardcover)
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Extreme Value Modeling and Risk Analysis: Methods and Applications
presents a broad overview of statistical modeling of extreme events
along with the most recent methodologies and various applications.
The book brings together background material and advanced topics,
eliminating the need to sort through the massive amount of
literature on the subject. After reviewing univariate extreme value
analysis and multivariate extremes, the book explains univariate
extreme value mixture modeling, threshold selection in extreme
value analysis, and threshold modeling of non-stationary extremes.
It presents new results for block-maxima of vine copulas, develops
time series of extremes with applications from climatology,
describes max-autoregressive and moving maxima models for extremes,
and discusses spatial extremes and max-stable processes. The book
then covers simulation and conditional simulation of max-stable
processes; inference methodologies, such as composite likelihood,
Bayesian inference, and approximate Bayesian computation; and
inferences about extreme quantiles and extreme dependence. It also
explores novel applications of extreme value modeling, including
financial investments, insurance and financial risk management,
weather and climate disasters, clinical trials, and sports
statistics. Risk analyses related to extreme events require the
combined expertise of statisticians and domain experts in
climatology, hydrology, finance, insurance, sports, and other
fields. This book connects statistical/mathematical research with
critical decision and risk assessment/management applications to
stimulate more collaboration between these statisticians and
specialists.
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