株式会社極東書店トップ ＞ 商品一覧 ＞ Perturbed Semi-Markov Type Processes II : Ergodic Theorems for Multi-Alternating Regenerative Processes. 1st ed. 2022.
商品詳細
Perturbed Semi-Markov Type Processes II : Ergodic Theorems for Multi-Alternating Regenerative Processes. 1st ed. 2022.
・ISBN 978-3-030-92398-3 hard EUR 129.99
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| 著者・編者 | Silvestrov, Dmitrii, |
|---|---|
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2022 |
| ページ数 | 413 pp. |
| 言語 | ENG |
| ニュース番号 | ＜M25-7190＞ |
解説
This book is the second volume of a two-volume monograph devoted to the study of limit and ergodic theorems for regularly and singularly perturbed Markov chains, semi-Markov processes, and multi-alternating regenerative processes with semi-Markov modulation.
The second volume presents a complete classification of ergodic theorems for alternating regenerative processes, including more than twenty-five such theorems. The text addresses new asymptotic recurrent algorithms of phase space reduction for multi-alternating regenerative processes modulating by regularly and singularly perturbed finite semi-Markov processes. It also features a new study of super-long, long, and short time ergodic theorems for these processes.
The book also contains a comprehensive bibliography of major works in the field. It provides an effective reference for both graduate students as well as theoretical and applied researchers studying stochastic processes and their applications.
The second volume presents a complete classification of ergodic theorems for alternating regenerative processes, including more than twenty-five such theorems. The text addresses new asymptotic recurrent algorithms of phase space reduction for multi-alternating regenerative processes modulating by regularly and singularly perturbed finite semi-Markov processes. It also features a new study of super-long, long, and short time ergodic theorems for these processes.
The book also contains a comprehensive bibliography of major works in the field. It provides an effective reference for both graduate students as well as theoretical and applied researchers studying stochastic processes and their applications.