Markov and Semi-markov Chains, Processes, Systems and Emerging Related Fields
This book covers a broad range of research results in the field of Markov and Semi-Markov chains, processes, systems and related emerging fields. The authors of the included research papers are well-known researchers in their field. The book presents the state-of-the-art and ideas for further resear...
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Format: | Book Chapter |
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Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2021
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Online Access: | Get Fullteks DOAB: description of the publication |
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LEADER | 03881naaaa2201069uu 4500 | ||
---|---|---|---|
001 | doab_20_500_12854_77055 | ||
005 | 20220111 | ||
020 | |a books978-3-0365-2399-6 | ||
020 | |a 9783036523989 | ||
020 | |a 9783036523996 | ||
024 | 7 | |a 10.3390/books978-3-0365-2399-6 |c doi | |
041 | 0 | |a English | |
042 | |a dc | ||
072 | 7 | |a GP |2 bicssc | |
072 | 7 | |a P |2 bicssc | |
100 | 1 | |a Vassiliou, Panagiotis-Christos |4 edt | |
700 | 1 | |a Georgiou, Andreas C. |4 edt | |
700 | 1 | |a Vassiliou, Panagiotis-Christos |4 oth | |
700 | 1 | |a Georgiou, Andreas C. |4 oth | |
245 | 1 | 0 | |a Markov and Semi-markov Chains, Processes, Systems and Emerging Related Fields |
260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2021 | ||
300 | |a 1 electronic resource (294 p.) | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a This book covers a broad range of research results in the field of Markov and Semi-Markov chains, processes, systems and related emerging fields. The authors of the included research papers are well-known researchers in their field. The book presents the state-of-the-art and ideas for further research for theorists in the fields. Nonetheless, it also provides straightforwardly applicable results for diverse areas of practitioners. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a Research & information: general |2 bicssc | |
650 | 7 | |a Mathematics & science |2 bicssc | |
653 | |a Monte Carlo | ||
653 | |a MCMC | ||
653 | |a Markov chains | ||
653 | |a computational statistics | ||
653 | |a bayesian inference | ||
653 | |a Non-Homogeneous Markov Systems | ||
653 | |a Markov Set Systems | ||
653 | |a limiting set | ||
653 | |a tail expectation | ||
653 | |a asymptotic bound | ||
653 | |a quasi-asymptotic independence | ||
653 | |a heavy-tailed distribution | ||
653 | |a dominated variation | ||
653 | |a copula | ||
653 | |a branching process | ||
653 | |a migration | ||
653 | |a continuous time | ||
653 | |a generating function | ||
653 | |a period-life | ||
653 | |a reliability | ||
653 | |a redundant systems | ||
653 | |a preventive maintenance | ||
653 | |a multiple vacations | ||
653 | |a process mining | ||
653 | |a process modelling | ||
653 | |a phase-type models | ||
653 | |a process target compliance | ||
653 | |a particle filter | ||
653 | |a missing data | ||
653 | |a single imputation | ||
653 | |a impoverishment | ||
653 | |a Markov Systems | ||
653 | |a open population Markov chain models | ||
653 | |a Semi-Markov processes | ||
653 | |a controllable Markov jump processes | ||
653 | |a compound Poisson processes | ||
653 | |a diffusion limits | ||
653 | |a stochastic control problem with incomplete information | ||
653 | |a novel queuing models in applications | ||
653 | |a semi-Markov model | ||
653 | |a Markov model | ||
653 | |a hybrid semi-Markov model | ||
653 | |a manpower planning | ||
653 | |a semi-Markov modeling | ||
653 | |a occupancy | ||
653 | |a first passage time | ||
653 | |a duration | ||
653 | |a non-homogeneity | ||
653 | |a DNA sequences | ||
653 | |a state space model | ||
653 | |a Kalman filter | ||
653 | |a constrained optimization | ||
653 | |a two-sided components | ||
653 | |a basketball | ||
653 | |a Markov chain | ||
653 | |a second order | ||
653 | |a off-ball screens | ||
653 | |a performance | ||
653 | |a semi-Markov | ||
653 | |a transient analysis | ||
653 | |a asymptotic analysis | ||
653 | |a n/a | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/4670 |7 0 |z Get Fullteks |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/77055 |7 0 |z DOAB: description of the publication |