Results 231 to 240 of about 14,052 (271)
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The Perturbed Non-Homogeneous Semi-Markov System
1999In the present we introduce and define for the first time the concept of a perturbed non-homogeneous semi-Markov system (P-NHSMS). We study the problem of the expected population structure as a function of the basic parameters of the system.
Panagiotis C. G. Vassiliou +1 more
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Non-homogeneous semi-Markov systems and maintainability of the state sizes
Journal of Applied Probability, 1992In this paper we introduce and define for the first time the concept of a non-homogeneous semi-Markov system (NHSMS). The problem of finding the expected population stucture is studied and a method is provided in order to find it in closed analytic form with the basic parameters of the system. Moreover, the problem of the expected duration structure in
Vassiliou, P.-C. G., Papadopoulou, A. A.
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Dependability analysis of systems modeled by non-homogeneous Markov chains
Reliability Engineering & System Safety, 1998Abstract The case of time non-homogeneous Markov systems in discrete time is studied in this article. In order to have measures adapted to this kind of systems, some reliability and performability measures are formulated, such as reliability, availability, maintainability and different time variables including new indicators more dedicated to ...
Agapios Platis +2 more
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Counting transitions—entrance probabilities in non-homogeneous semi-Markov systems
Applied Stochastic Models and Data Analysis, 1997The author considers the non-homogeneous semi-Markov systems. Let \(\{\Phi(x/n,s)\}_{x,n,s=0}^{\infty}\) be a sequence of matrices the element \(\varphi_{ij}(x/n,s)\) of which is the probability that a member of the system which entered state \(i\) at time \(s\) will be in state \(j\) after \(n\) time units and \(x\) transitions having taken place ...
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Rate of convergence in fuzzy non homogeneous Markov systems
Communications in Statistics - Theory and Methods, 2018AbstractCertain aspects of convergence rate in a non-homogeneous Markov system (NHMS) using fuzzy set theory and fuzzy reasoning are presented in this paper. More specifically, a fuzzy non-homogeneous Markov system is considered where fuzzy inference systems are used to estimate the transition probabilities, the input and loss probabilities and the ...
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Continuous Time Non Homogeneous Semi-Markov Systems
1999In the present we introduce and define the non-homogeneous semi-Markov system in continuous time. We study the problem of finding the expected population structure in closed analytic form, in relation with the basic sequences of the system. Moreover, the problem of the asymptotic behavior of the system is studied under certain conditions.
Aleka A. Papadopoulou +1 more
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Economic Rewards in Non-homogeneous Semi-Markov Systems
Communications in Statistics - Theory and Methods, 2004Abstract In this paper, a general reward model for a non homogeneous semi-Markov system will be provided. Both discrete and continuous time models will be studied considering reward to be a random variable of the economic type associated with the state occupancies and transitions. Basic equations will be exhibited and the main formulas for the expected
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Bayesian estimation for jump Markov linear systems with non-homogeneous transition probabilities
Journal of the Franklin Institute, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shunyi Zhao, Fei Liu 0001
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Periodic strong ergodicity in non-homogeneous Markov systems
Journal of Applied Probability, 1991This paper presents a unified treatment of the convergence properties of nonhomogeneous Markov systems under different sets of assumptions. First the periodic case is studied and the limiting evolution of the individual cyclically moving subclasses of the state space of the associated Markov replacement chain is completely determined. A special case of
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The rate of convergence of the vector of variances and covariances in non-homogeneous Markov systems
Journal of Applied Probability, 1989The aims of this paper are twofold. The first is to study the rate of convergence of the sequence of vectors of expectations, variances and covariances in NHMS. It is proved that under certain conditions easily met in practice the rate is geometric.
Vassiliou, P.-C. G., Tsaklidis, G.
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