Markov and Semi-markov Chains, Processes, Systems and Emerging Related Fields

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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HerausgeberIn:
Georgiou, Andreas C.
Sonstige:
Vassiliou, Panagiotis-Christos
Georgiou, Andreas C.
Year of Publication:2021
Language:English
Physical Description:1 electronic resource (294 p.)
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(oapen)https://directory.doabooks.org/handle/20.500.12854/77055
(EXLCZ)995400000000042250
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spelling Vassiliou, Panagiotis-Christos edt
Markov and Semi-markov Chains, Processes, Systems and Emerging Related Fields
Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
1 electronic resource (294 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
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.
English
Research & information: general bicssc
Mathematics & science bicssc
Monte Carlo
MCMC
Markov chains
computational statistics
bayesian inference
Non-Homogeneous Markov Systems
Markov Set Systems
limiting set
tail expectation
asymptotic bound
quasi-asymptotic independence
heavy-tailed distribution
dominated variation
copula
branching process
migration
continuous time
generating function
period-life
reliability
redundant systems
preventive maintenance
multiple vacations
process mining
process modelling
phase-type models
process target compliance
particle filter
missing data
single imputation
impoverishment
Markov Systems
open population Markov chain models
Semi-Markov processes
controllable Markov jump processes
compound Poisson processes
diffusion limits
stochastic control problem with incomplete information
novel queuing models in applications
semi-Markov model
Markov model
hybrid semi-Markov model
manpower planning
semi-Markov modeling
occupancy
first passage time
duration
non-homogeneity
DNA sequences
state space model
Kalman filter
constrained optimization
two-sided components
basketball
Markov chain
second order
off-ball screens
performance
semi-Markov
transient analysis
asymptotic analysis
3-0365-2398-7
3-0365-2399-5
Georgiou, Andreas C. edt
Vassiliou, Panagiotis-Christos oth
Georgiou, Andreas C. oth
language English
format eBook
author2 Georgiou, Andreas C.
Vassiliou, Panagiotis-Christos
Georgiou, Andreas C.
author_facet Georgiou, Andreas C.
Vassiliou, Panagiotis-Christos
Georgiou, Andreas C.
author2_variant p c v pcv
a c g ac acg
author2_role HerausgeberIn
Sonstige
Sonstige
title Markov and Semi-markov Chains, Processes, Systems and Emerging Related Fields
spellingShingle Markov and Semi-markov Chains, Processes, Systems and Emerging Related Fields
title_full Markov and Semi-markov Chains, Processes, Systems and Emerging Related Fields
title_fullStr Markov and Semi-markov Chains, Processes, Systems and Emerging Related Fields
title_full_unstemmed Markov and Semi-markov Chains, Processes, Systems and Emerging Related Fields
title_auth Markov and Semi-markov Chains, Processes, Systems and Emerging Related Fields
title_new Markov and Semi-markov Chains, Processes, Systems and Emerging Related Fields
title_sort markov and semi-markov chains, processes, systems and emerging related fields
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2021
physical 1 electronic resource (294 p.)
isbn 3-0365-2398-7
3-0365-2399-5
illustrated Not Illustrated
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is_hierarchy_title Markov and Semi-markov Chains, Processes, Systems and Emerging Related Fields
author2_original_writing_str_mv noLinkedField
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