Nonlinearly perturbed semi-Markov processes /

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Bibliographic Details
Author / Creator:Sil╩╣vestrov, D. S. (Dmitrii╠ć Sergeevich), author.
Imprint:Cham : Springer, [2017]
Description:1 online resource (XIV, 143 pages)
Language:English
Series:SpringerBriefs in Probability and Mathematical Statistics, 2365-4333
SpringerBriefs in Probability and Mathematical Statistics,
Subject:Markov processes.
Probability & statistics.
MATHEMATICS -- Applied.
MATHEMATICS -- Probability & Statistics -- General.
Markov processes.
Electronic books.
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11361342
Hidden Bibliographic Details
Other authors / contributors:Silvestrov, Sergei D., author.
ISBN:9783319609881
3319609882
9783319609874
3319609874
Digital file characteristics:text file PDF
Notes:Includes bibliographical references and index.
Print version record.
Summary:The book presents new methods of asymptotic analysis for nonlinearly perturbed semi-Markov processes with a finite phase space. These methods are based on special time-space screening procedures for sequential phase space reduction of semi-Markov processes combined with the systematical use of operational calculus for Laurent asymptotic expansions. Effective recurrent algorithms are composed for getting asymptotic expansions, without and with explicit upper bounds for remainders, for power moments of hitting times, stationary and conditional quasi-stationary distributions for nonlinearly perturbed semi-Markov processes. These results are illustrated by asymptotic expansions for birth-death-type semi-Markov processes, which play an important role in various applications. The book will be a useful contribution to the continuing intensive studies in the area. It is an essential reference for theoretical and applied researchers in the field of stochastic processes and their applications that will contribute to continuing extensive studies in the area and remain relevant for years to come.
Other form:Print version : Nonlinearly perturbed semi-Markov processes. Cham : Springer, [2017] 9783319609874
Standard no.:10.1007/978-3-319-60988-1