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Heavy-Tail Phenomena: Probabilistic and Statistical Modeling (Springer Series in...
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Home > Mathematics Books > Brownian Motion Books > Item 28
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Heavy-Tail Phenomena: Probabilistic and Statistical Modeling (Springer Series in...
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by Sidney I. Resnick
Sales Rank: 632476

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List Price: $59.95
$47.96
At Amazon on 10-13-2008
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Hardcover: 406 pages
Publisher: Springer; 1 edition December 1, 2006
Language: English
ISBN-10: 0387242724
ISBN-13: 978-0387242729
Product Dimensions:
9.3 x 7 x 1 inches
Shipping Weight: 1.8 pounds
Product Review
From the reviews:
"The book is divided into three general parts covering introduction, probability and statistics. … Exercises are provided at the end of each chapter. Naturally all of the exercises are technical and proof based. Doing the exercises will greatly improve the understanding of the subject. … The book is suitable for graduate students in mathematical finance, finance, operations research and other similar fields. It should also be of great value to practitioners in finance … ." (Ita Cirovic Doney, MathDL, May, 2007)
Product Description
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 many phenomena where the probability of a single huge value impacts heavily. Record-breaking insurance losses, financial-log returns, files sizes stored on a server, transmission rates of files are all examples of heavy-tailed phenomena.
Key features:
* Unique text devoted to heavy-tails
* Emphasizes both probability modeling and statistical methods for fitting models. Most treatments focus on one or the other but not both
* Presents broad applicability of heavy-tails to the fields of data networks, finance (e.g., value-at- risk), insurance, and hydrology
* Clear, efficient and coherent exposition, balancing theory and actual data to show the applicability and limitations of certain methods
* Examines in detail the mathematical properties of the methodologies as well as their implementation in Splus or R statistical languages
* Exposition 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 applied mathematics, statistics, operations research, electrical engineering, and economics.
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Heavy-Tail Phenomena: Probabilistic and Statistical Modeling (Springer Series in...
Available from Amazon
Price: $47.96
Updated on 10-13-2008

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