000 02238 a2200193 4500
020 _a9781498701297
040 _cIIT Kanpur
041 _aeng
082 _a519.2
_bEx89
245 _aExtreme value modeling and risk analysis
_bmethods and applications
_cedited by Dipak K. Dey and Jun Yan
260 _bCRC Press
_c2016
_aBoca Raton
300 _axx, 520p
520 _aExtreme 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.
650 _aRisk assessment -- Mathematical models
650 _aMultivariate analysis
700 _aDey, Dipak K. [ed.]
700 _aYan, Jun [ed.]
942 _cBK
999 _c560729
_d560729