Overview
- First monograph entirely devoted to the subject of stable convergence
- Presents a clear and sound introduction to the field
- Includes examples of successful applications and exercise sets with solutions to illustrate the theoretical results
- Includes supplementary material: sn.pub/extras
Part of the book series: Probability Theory and Stochastic Modelling (PTSM, volume 74)
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Table of contents (10 chapters)
Keywords
About this book
Reviews
“This book presents an account of stable convergence and stable limit theorems which can serve as an introduction to the area. … The book is a big account of all major stable limit theorems which have been established in the last 50 years or so.” (Nikolai N. Leonenko, zbMATH 1356.60004, 2017)
“The present book represents a comprehensive account of the theory of stable convergence. The theory is illustrated by a number of examples and applied to a variety of limit theorems. … The book is well written, and the concepts are clearly explained. I enjoyed reading it because of both the contents and the authors’ attractive style of presentation. … I concur with this and think that the book will appeal to the student as much as to the specialist.” (Alexander Iksanov, Mathematical Reviews, February, 2016)
Authors and Affiliations
About the authors
Bibliographic Information
Book Title: Stable Convergence and Stable Limit Theorems
Authors: Erich Häusler, Harald Luschgy
Series Title: Probability Theory and Stochastic Modelling
DOI: https://doi.org/10.1007/978-3-319-18329-9
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-18328-2Published: 25 June 2015
Softcover ISBN: 978-3-319-36519-0Published: 15 October 2016
eBook ISBN: 978-3-319-18329-9Published: 09 June 2015
Series ISSN: 2199-3130
Series E-ISSN: 2199-3149
Edition Number: 1
Number of Pages: X, 228
Topics: Probability Theory and Stochastic Processes, Statistical Theory and Methods