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Titlebook: Heavy-Tail Phenomena; Probabilistic and St Sidney I. Resnick Textbook 20071st edition Springer-Verlag New York 2007 Analysis.Fitting.Poisso

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书目名称Heavy-Tail Phenomena
副标题Probabilistic and St
编辑Sidney I. Resnick
视频video
概述Unique text devoted to heavy-tails.The treatment of heavy tails is largely dimensionless.The text gives attention to both probability modeling and statistical methods for fitting models. Most other bo
丛书名称Springer Series in Operations Research and Financial Engineering
图书封面Titlebook: Heavy-Tail Phenomena; Probabilistic and St Sidney I. Resnick Textbook 20071st edition Springer-Verlag New York 2007 Analysis.Fitting.Poisso
描述.This comprehensive text gives an interesting and useful blend of the mathematical, probabilistic and statistical tools used in heavy-tail analysis. Heavy tails are characteristic of phenomena where there is a significant probability of a single huge value impacting system behavior. Record-breaking insurance losses, financial returns, sizes of files stored on a server, transmission rates of files are all examples of heavy-tailed phenomena.. .Key features:. .Unique text devoted to heavy-tails.. .The treatment of heavy tails is largely dimensionless.. .The text gives attention to both probability modeling and statistical methods for fitting models. Most other books focus on one or the other but not both.. .The book emphasizes the broad applicability of heavy-tails to the fields of finance (e.g., value-at- risk), data networks, insurance.. .The presentation is clear, efficient and coherent and, balances theory and data analysis to show the applicability andlimitations of certain methods.. .Several chapters examine in detail the mathematical properties of the methodologies as well as their implementation in the Splus or R statistical languages.. .The exposition is driven by numerous ex
出版日期Textbook 20071st edition
关键词Analysis; Fitting; Poisson process; STATISTICA; Time series; data analysis; electrical engineering; hydrolo
版次1
doihttps://doi.org/10.1007/978-0-387-45024-7
isbn_softcover978-1-4419-2024-9
isbn_ebook978-0-387-45024-7Series ISSN 1431-8598 Series E-ISSN 2197-1773
issn_series 1431-8598
copyrightSpringer-Verlag New York 2007
The information of publication is updating

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