Asymptotic behavior of Markov systems

Author:

Vassiliou P.-C. G.

Abstract

In this paper we study the asymptotic behavior of Markov systems and especially non-homogeneous Markov systems. It is found that the limiting structure and the relative limiting structure exist under certain conditions. The problem of weak ergodicity in the above non-homogeneous systems is studied. Necessary and sufficient conditions are provided for weak ergodicity. Finally, we discuss the application of the present results in manpower systems.

Publisher

Cambridge University Press (CUP)

Subject

Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability

Reference20 articles.

1. A non-linear model on the promotion of staff;Young;J. R. Statist. Soc.,1974

2. On the limiting structure of an expanding Markovian system with given size;Vassiliou;Rev. Roum. Math. Pures Appl.,1979

3. On the limiting behaviour of a nonhomogeneous Markov chain model in manpower systems;Vassiliou;Biometrika,1981a

4. A high order Markovian model for promotion in manpower systems;Vassiliou;J. R. Statist. Soc.,1978

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