The probabilistic significance of the rate matrix in matrix-geometric invariant vectors
- 1 March 1980
- journal article
- research article
- Published by Cambridge University Press (CUP) in Journal of Applied Probability
- Vol. 17 (01) , 291-296
- https://doi.org/10.1017/s0021900200047057
Abstract
Many queueing models have embedded Markov chains, whose invariant probability vector is of a (modified) matrix-geometric form. The rate matrix R is shown to have the following probabilistic interpretation: The element Rvj is the expected number of visits to the state (i + 1, j), before the first return to the set i = {(i, 1), …,(i, m)}, in a chain starting in the state (i, v).Keywords
This publication has 2 references indexed in Scilit:
- Markov chains with applications in queueing theory, which have a matrix-geometric invariant probability vectorAdvances in Applied Probability, 1978
- Geometric Distribution in Some Two-Dimensional Queuing SystemsOperations Research, 1967