A more realistic way to describe a model is the use of intervals which contain the required values of the parameters. In practice we estimate the parameters from a set of data and it is …
T De Feyter, MA Guerry, Komarudin - Annals of Operations Research, 2017 - Springer
The present paper proposes a mathematical model and algorithm for optimizing cost- effectiveness in a stochastic manpower planning system under control by recruitment. More …
Non-Homogeneous Markov Chains and Systems: Theory and Applications fulfills two principal goals. It is devoted to the study of non-homogeneous Markov chains in the first part …
PCG Vassiliou - Methodology and Computing in Applied Probability, 2020 - Springer
In the present we establish Laws of Large Numbers for Non-Homogeneous Markov Systems and Cyclic Non-homogeneous Markov systems. We start with a theorem, where we …
In the present, we study the problem of strong ergodicity in nonhomogeneous Markov systems. In the first basic theorem, we relax the fundamental assumption present in all …
N Tsantas - Mathematical methods of operations research, 2001 - Springer
This paper is concerned with the asymptotic behavior of a time dependent Markov model in a stochastic environment, with special relevance to manpower systems. The stochastic …
In this article we study the asymptotic behaviour of the expected population structure of a Markov system that lives in a general state space (MSGS) and its rate of convergence. We …
PCG Vassiliou - Linear Algebra and its Applications, 2015 - Elsevier
We firstly recall the concept of an NHMS and introduce concepts and known results necessary for the study of asymptotic periodicity of the vector of expectations, variances and …