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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Year of Publication: | 2021 |
Language: | English |
Physical Description: | 1 electronic resource (294 p.) |
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100 | 1 | |a Vassiliou, Panagiotis-Christos |4 edt | |
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.) | ||
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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. | ||
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 | ||
776 | |z 3-0365-2398-7 | ||
776 | |z 3-0365-2399-5 | ||
700 | 1 | |a Georgiou, Andreas C. |4 edt | |
700 | 1 | |a Vassiliou, Panagiotis-Christos |4 oth | |
700 | 1 | |a Georgiou, Andreas C. |4 oth | |
906 | |a BOOK | ||
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