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文献信息
Extremes publishes original research on all aspects of statistical extreme value theory and its applications in science, engineering, economics and other fields. Authoritative and timely reviews of theoretical advances and of extreme value methods and problems in important applied areas, including detailed case studies, are welcome and will be a regular feature. All papers are refereed. Publication will be swift: in particular electronic submission and correspondence is encouraged.
Extreme Value TheoryRegular VariationRandom VariablesTail DependenceMax-stable ProcessesGeneralized Pareto DistributionAsymptotic IndependenceLimiting DistributionHill EstimatorAsymptotic NormalityOrder StatisticsBusiness MediaExtreme Value DistributionExtreme Value AnalysisGeneralized ParetoDistribution FunctionGaussian ProcessesExtreme Value StatisticsLimit TheoremsDependence Function
vol.28 (2025)
vol.27 (2024)
vol.26 (2023)
vol.25 (2022)
vol.24 (2021)
vol.23 (2020)
vol.22 (2019)
vol.21 (2018)
vol.20 (2017)
vol.19 (2016)
vol.18 (2015)
vol.17 (2014)
vol.16 (2013)
vol.15 (2012)
vol.14 (2011)
vol.13 (2010)
vol.12 (2009)
vol.11 (2008)