Stopped Random Walks
Limit Theorems and Applications
Classical probability theory provides information about random walks after a fixed number of steps. For applications, however, it is more natural to consider random walks evaluated after a random number of steps. Stopped Random Walks: Limit Theorems and Applications shows how this theory can be used to prove limit theorems for renewal counting processes, first passage time processes, and certain two-dimensional random walks, as well as how these results may be used in a variety of applications.The present second edition offers updated content and an outlook on further results, extensions and generalizations. A new chapter introduces nonlinear…
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Produktdetails
- ISBN: 978-1-4419-2773-6
- EAN: 9781441927736
- Produktnummer: 11109365
- Verlag: Springer New York
- Sprache: Englisch
- Erscheinungsjahr: 2010
- Seitenangabe: 280 S.
- Masse: H25.5 cm x B18.4 cm x D2.2 cm 524 g
- Auflage: Softcover reprint of hardcover 2nd ed. 2009
- Abbildungen: Paperback
- Gewicht: 524
Über den Autor
Dr. Allan Gut is a professor of mathematical statistics at Uppsala University in Sweden. He has published many numerous articles, and has authored and co-authored six books, four of which were published by Springer. Three of those books, including the first edition of this book, have sold out, and Probability: A Graduate Course, published in 2005, is selling well.
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