| 书目名称 | Continuous-Time Markov Chains |
| 副标题 | An Applications-Orie |
| 编辑 | William J. Anderson |
| 视频video | http://file.papertrans.cn/238/237042/237042.mp4 |
| 丛书名称 | Springer Series in Statistics |
| 图书封面 |  |
| 描述 | Continuous time parameter Markov chains have been useful for modeling various random phenomena occurring in queueing theory, genetics, demography, epidemiology, and competing populations. This is the first book about those aspects of the theory of continuous time Markov chains which are useful in applications to such areas. It studies continuous time Markov chains through the transition function and corresponding q-matrix, rather than sample paths. An extensive discussion of birth and death processes, including the Stieltjes moment problem, and the Karlin-McGregor method of solution of the birth and death processes and multidimensional population processes is included, and there is an extensive bibliography. Virtually all of this material is appearing in book form for the first time. |
| 出版日期 | Book 1991 |
| 关键词 | Branching process; Markov chain; Moment; Parameter; Transition function; continuous-time Markov chain; erg |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4612-3038-0 |
| isbn_softcover | 978-1-4612-7772-9 |
| isbn_ebook | 978-1-4612-3038-0Series ISSN 0172-7397 Series E-ISSN 2197-568X |
| issn_series | 0172-7397 |
| copyright | Springer-Verlag New York Inc. 1991 |
|Archiver|手机版|小黑屋|
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