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Renewal Theory for Perturbed Random Walks and Similar Processes (Hardcover, 1st ed. 2016) Loot Price: R3,363
Discovery Miles 33 630
Renewal Theory for Perturbed Random Walks and Similar Processes (Hardcover, 1st ed. 2016): Alexander Iksanov

Renewal Theory for Perturbed Random Walks and Similar Processes (Hardcover, 1st ed. 2016)

Alexander Iksanov

Series: Probability and Its Applications

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Loot Price R3,363 Discovery Miles 33 630 | Repayment Terms: R315 pm x 12*

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This book offers a detailed review of perturbed random walks, perpetuities, and random processes with immigration. Being of major importance in modern probability theory, both theoretical and applied, these objects have been used to model various phenomena in the natural sciences as well as in insurance and finance. The book also presents the many significant results and efficient techniques and methods that have been worked out in the last decade. The first chapter is devoted to perturbed random walks and discusses their asymptotic behavior and various functionals pertaining to them, including supremum and first-passage time. The second chapter examines perpetuities, presenting results on continuity of their distributions and the existence of moments, as well as weak convergence of divergent perpetuities. Focusing on random processes with immigration, the third chapter investigates the existence of moments, describes long-time behavior and discusses limit theorems, both with and without scaling. Chapters four and five address branching random walks and the Bernoulli sieve, respectively, and their connection to the results of the previous chapters. With many motivating examples, this book appeals to both theoretical and applied probabilists.

General

Imprint: Birkhauser Verlag AG
Country of origin: Switzerland
Series: Probability and Its Applications
Release date: 2017
First published: 2016
Authors: Alexander Iksanov
Dimensions: 235 x 155 x 20mm (L x W x T)
Format: Hardcover
Pages: 250
Edition: 1st ed. 2016
ISBN-13: 978-3-319-49111-0
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
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LSN: 3-319-49111-3
Barcode: 9783319491110

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