{"product_id":"heavy-tail-phenomena-probabilistic-and-statistical-modeling-9781441920249","title":"Heavy-Tail Phenomena: Probabilistic and Statistical Modeling","description":"\u003cp\u003e • Author(s): Sidney I. Resnick\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e \u003cp\u003eKey features: \u003c\/p\u003e \u003cp\u003eUnique text devoted to heavy-tails.\u003c\/p\u003e \u003cp\u003eThe treatment of heavy tails is largely dimensionless.\u003c\/p\u003e \u003cp\u003eThe 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.\u003c\/p\u003e \u003cp\u003eThe book emphasizes the broad applicability of heavy-tails to the fields of finance (e.g., value-at- risk), data networks, insurance.\u003c\/p\u003e \u003cp\u003eThe presentation is clear, efficient and coherent and, balances theory and data analysis to show the applicability and limitations of certain methods.\u003c\/p\u003e \u003cp\u003eSeveral chapters examine in detail the mathematical properties of the methodologies as well as their implementation in the Splus or R statistical languages.\u003c\/p\u003e \u003cp\u003eThe exposition is driven by numerous examples and exercises.\u003c\/p\u003e \u003cp\u003ePrerequisites for the reader include a prior course in stochastic processes and probability, some statistical background, some familiarity with time series analysis, and ability to use (or at least to learn) a statistics package such as R or Splus. This work will serve second-year graduate students and researchers in the areas of operations research, statistics, applied mathematics, electrical engineering, financial engineering, networking and economics.\u003c\/p\u003e \u003cp\u003eSidney Resnick is a Professor at Cornell University and has written several well-known bestsellers: A Probability Path (ISBN: 081764055X), Adventures in Stochastic Processes (ISBN: 0817635912) and Extreme Values, Regular Variation, and Point Processes (ISBN: 0387964819).\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45276716990615,"sku":"9781441920249","price":4730.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781441920249.webp?v=1769286438","url":"https:\/\/atlanticbooks.com\/products\/heavy-tail-phenomena-probabilistic-and-statistical-modeling-9781441920249","provider":"Atlantic Books","version":"1.0","type":"link"}