Description: Stable Non-Gaussian Self-Similar Processes With Stationary Increments, Paperback by Pipiras, Vladas; Taqqu, Murad S., ISBN 3319623303, ISBN-13 9783319623306, Brand New, Free shipping in the US
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 th 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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Book Title: Stable Non-Gaussian Self-Similar Processes With Stationary Increm
Number of Pages: Xiii, 135 Pages
Publication Name: Stable Non-Gaussian Self-Similar Processes with Stationary Increments
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2017
Subject: Probability & Statistics / Stochastic Processes, Probability & Statistics / General, System Theory, Mathematical Analysis
Type: Textbook
Item Weight: 85 Oz
Subject Area: Mathematics, Science
Item Length: 9.3 in
Author: Murad S. Taqqu, Vladas Pipiras
Item Width: 6.1 in
Series: Springerbriefs in Probability and Mathematical Statistics Ser.
Format: Trade Paperback
