9783319623306-3319623303-Stable Non-Gaussian Self-Similar Processes with Stationary Increments (SpringerBriefs in Probability and Mathematical Statistics)

Stable Non-Gaussian Self-Similar Processes with Stationary Increments (SpringerBriefs in Probability and Mathematical Statistics)

ISBN-13: 9783319623306
ISBN-10: 3319623303
Edition: 1st ed. 2017
Author: Vladas Pipiras, Murad S. Taqqu
Publication date: 2017
Publisher: Springer
Format: Paperback 148 pages
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Book details

ISBN-13: 9783319623306
ISBN-10: 3319623303
Edition: 1st ed. 2017
Author: Vladas Pipiras, Murad S. Taqqu
Publication date: 2017
Publisher: Springer
Format: Paperback 148 pages

Summary

Stable Non-Gaussian Self-Similar Processes with Stationary Increments (SpringerBriefs in Probability and Mathematical Statistics) (ISBN-13: 9783319623306 and ISBN-10: 3319623303), written by authors Vladas Pipiras, Murad S. Taqqu, was published by Springer in 2017. With an overall rating of 4.5 stars, it's a notable title among other books. You can easily purchase or rent Stable Non-Gaussian Self-Similar Processes with Stationary Increments (SpringerBriefs in Probability and Mathematical Statistics) (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.48.

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.
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