Opening book details…
Can I read Continuous-time Markov chains : an applications-oriented approach on EtoBox?
Continuous-time Markov chains : an applications-oriented approach by Anderson, William J. (william James) , 1943- is a nonfiction available to read on EtoBox.
What is Continuous-time Markov chains : an applications-oriented approach about?
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.
Who reads Continuous-time Markov chains : an applications-oriented approach?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Anderson, William J. (william James) , 1943-
- Publisher
- Springer-Verlag, c1991.
- Published
- 1991
- Language
- EN
- ISBN
- 9780387973692
- Category
- nonfiction
- Subjects
- Mathematics, Stem
More by Anderson, William J. (william James) , 1943-
Browse all works by Anderson, William J. (william James) , 1943-
Similar books
- Continuous-Time Markov Chains: An Applications-Oriented Approach (Springer Series in Statistics) — William J. Anderson (auth.) (1991)
- Markov Chains : Models, Algorithms and Applications — Wai-Ki Ching; Michael Kwok-Po Ng (2006)
- Continuous-Time Markov Chains and Applications : A Singular Perturbation Approach — G. George Yin, Qing Zhang (auth.) (1998)
- Queueing Networks and Markov Chains : Modeling and Performance Evaluation with Computer Science Applications — Gunter Bolch (1998)
- Understanding Markov Chains: Examples and Applications (Springer Undergraduate Mathematics Series) — Nicolas Privault (2018)
- Discrete-Time Semi-Markov Random Evolutions and Their Applications — Nikolaos Limnios; Anatoliy Swishchuk (2023)