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Stable Non-Gaussian Self-Similar Processes with Stationary Increments by Vladas

Description: Stable Non-Gaussian Self-Similar Processes with Stationary Increments by Vladas Pipiras, Murad S. Taqqu Estimated delivery 3-12 business days Format Paperback Condition Brand New Description This book provides a self-contained presentation on the structure of a large class of stable processes, known as self-similar mixed moving averages. The first sections in the book review random variables, stochastic processes, and integrals, moving on to rigidity and flows, and finally ending with mixed moving averages and self-similarity. Publisher Description This book provides a self-contained presentation on the structure of a large class of stable processes, known as self-similar mixed moving averages. The authors present a way to describe and classify these processes by relating them to so-called deterministic flows. The first sections in the book review random variables, stochastic processes, and integrals, moving on to rigidity and flows, and finally ending with mixed moving averages and self-similarity. In-depth appendices are also included. This book is aimed at graduate students and researchers working in probability theory and statistics. Author Biography Vladas Pipiras is Professor of Statistics and Operations Research at the University of North Carolina, Chapel Hill. His main research interests focus on stochastic processes exhibiting long-range dependence, self-similarity and other scaling phenomena, as well as on stable, extreme-value and other distributions possessing heavy tails. His other current interests include high-dimensional time series, sampling issues for "big data" and stochastic dynamical systems, with applications in Econometrics, Neuroscience, Engineering, Computer Science and other areas. Vladas Pipiras has written over 50 research papers, and is a coauthor of a graduate textbook on measure theory and probability.Murad S. Taqqus research involves self-similar processes, their connection to time series with long-range dependence , the development of statistical tests, and the study of non-Gaussian processes whose marginal distributions have heavy tails. He has written more than 250 scientificpapers and is the coauthor of a standard reference on stable non-Gaussian random processes. Professor Taqqu is a Fellow of the Institute of Mathematical Statistics and has been elected Member of the International Statistical Institute. He has received a number of awards, including a John Simon Guggenheim Fellowship, the 1995 William J. Bennett Award, the 1996 IEEE W.R.G. Baker Prize, the 2002 EURASIO Best Paper Award and the 2006 ACM/SIGCOMM Test of Time Award. Details ISBN 3319623303 ISBN-13 9783319623306 Title Stable Non-Gaussian Self-Similar Processes with Stationary Increments Author Vladas Pipiras, Murad S. Taqqu Format Paperback Year 2017 Pages 135 Edition 1st Publisher Springer International Publishing AG GE_Item_ID:137941687; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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Stable Non-Gaussian Self-Similar Processes with Stationary Increments by Vladas

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ISBN-13: 9783319623306

Book Title: Stable Non-Gaussian Self-Similar Processes with Stationary Increm

Number of Pages: Xiii, 135 Pages

Language: English

Publication Name: Stable Non-Gaussian Self-Similar Processes with Stationary Increments

Publisher: Springer International Publishing A&G

Subject: Probability & Statistics / Stochastic Processes, Probability & Statistics / General, System Theory, Mathematical Analysis

Publication Year: 2017

Item Weight: 85 Oz

Type: Textbook

Author: Murad S. Taqqu, Vladas Pipiras

Item Length: 9.3 in

Subject Area: Mathematics, Science

Series: Springerbriefs in Probability and Mathematical Statistics Ser.

Item Width: 6.1 in

Format: Trade Paperback

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