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Titlebook: Extreme Value Theory; Proceedings of a Con Jürg Hüsler,Rolf-Dieter Reiss Conference proceedings 1989 Springer-Verlag Berlin Heidelberg 1989

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书目名称Extreme Value Theory
副标题Proceedings of a Con
编辑Jürg Hüsler,Rolf-Dieter Reiss
视频video
丛书名称Lecture Notes in Statistics
图书封面Titlebook: Extreme Value Theory; Proceedings of a Con Jürg Hüsler,Rolf-Dieter Reiss Conference proceedings 1989 Springer-Verlag Berlin Heidelberg 1989
描述The urgent need to describe and to solve certain problems connected to extreme phenomena in various areas of applications has been of decisive influence on the vital development of extreme value theory. After the pioneering work of M. Frechet (1927) and of R.A. Fisher and L.R.C. Tippett (1928), who discovered the limiting distributions of extremes, the importance of mathematical concepts of extreme behavior in applications was impressively demonstrated by statisticians like E.J. Gumbel and W. Weibull. The predominant role of applied aspects in that early period may be highlighted by the fact that two of the "Fisher-Tippett asymptotes" also carry the names of Gumbel and Weibull. In the last years, the complexity of problems and their tractability by mathematical methods stimulated a rapid development of mathematical theory that substantially helped to improve our understanding of extreme behavior. Due to the depth and richness of mathematical ideas, extreme value theory has become more and more of interest for mathematically oriented research workers. This was one of the reasons to organize a conference on extreme value theory which was held at the Mathematische Forschungsinstitut a
出版日期Conference proceedings 1989
关键词Estimator; Gaussian process; Likelihood; Probability theory; correlation; point process; random measure; st
版次1
doihttps://doi.org/10.1007/978-1-4612-3634-4
isbn_softcover978-0-387-96954-1
isbn_ebook978-1-4612-3634-4Series ISSN 0930-0325 Series E-ISSN 2197-7186
issn_series 0930-0325
copyrightSpringer-Verlag Berlin Heidelberg 1989
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https://doi.org/10.1007/978-3-7091-0127-8nsions. We outline several plausible definitions of a record and settle on one induced by a partial ordering: For observations X.,…,X. we say X. is a record if each component of X. is bigger than the corresponding components of previous observations. Some properties of such records of iid observatio
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https://doi.org/10.1007/978-1-4612-3634-4Estimator; Gaussian process; Likelihood; Probability theory; correlation; point process; random measure; st
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https://doi.org/10.1007/978-3-7091-0127-8record if each component of X. is bigger than the corresponding components of previous observations. Some properties of such records of iid observations are reviewed and used to study the shape of the convex hull of the first n observations, as n→∞.
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Conference proceedings 1989ce on the vital development of extreme value theory. After the pioneering work of M. Frechet (1927) and of R.A. Fisher and L.R.C. Tippett (1928), who discovered the limiting distributions of extremes, the importance of mathematical concepts of extreme behavior in applications was impressively demons
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Multivariate Records and Shaperecord if each component of X. is bigger than the corresponding components of previous observations. Some properties of such records of iid observations are reviewed and used to study the shape of the convex hull of the first n observations, as n→∞.
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