Heavy-Tail Phenomena: Probabilistic And Statistical Modeling - Rilegato

Resnick, Sidney I.

Rilegato

ISBN 10: 0387242724 ISBN 13: 9780387242729

Casa editrice: Springer Nature, 2006

Riassunto

This comprehensive text gives an interesting and useful blend of the mathematical, probabilistic and statistical tools used in heavy-tail analysis. It is uniquely devoted to heavy-tails and emphasizes both probability modeling and statistical methods for fitting models.

Prerequisites 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 a statistics package. This work will serve second-year graduate students and researchers in the areas of applied mathematics, statistics, operations research, electrical engineering, and economics.

Su questo libro

Informazioni sull?autore

Sidney Resnick is a Professor at Cornell University.

Dalla quarta di copertina

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 examples and exercises.

Prerequisites 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.

Sidney 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).

Dettagli dell?edizione

• Editore: Springer Nature
• Data di pubblicazione: 2006
• Lingua: Inglese
• ISBN 10: 0387242724
• ISBN 13: 9780387242729
• Rilegatura: Copertina rigida
• Numero di pagine: 404
• Contatto del produttore: non disponibile
• Persona responsabile: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania