Continuous-Time Markov Chains : an Applications-Oriented Approach /
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 ap...
| Main Author: | |
|---|---|
| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York,
1991.
|
| Series: | Springer series in statistics. Probability and its applications.
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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. |
|---|---|
| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (xii, 355 pages 5 illustrations) |
| ISBN: | 9781461230380 (electronic bk.) 1461230381 (electronic bk.) |
| ISSN: | 0172-7397 |