A two-compartment and a mammillary compartment system with arbitrary sojourn time distributions for each of the compartments is analysed in this paper, both with and without input. Several results found earlier by other authors for these systems are generalized and some new results are also added.
On the stochastic theory of compartments: The leaving process of the two-compartment systems
β Scribed by G.K. Agrafiotis
- Publisher
- Springer
- Year
- 1981
- Tongue
- English
- Weight
- 654 KB
- Volume
- 43
- Category
- Article
- ISSN
- 1522-9602
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β¦ Synopsis
In this paper three stochastic models are developed for a class of two-compartment systems to analyse the randomness of the leaving process of the particles in the system.
Results in closed form for the distribution of the leaving process of the particles in the system are given both for general and exponential sojourn time distributions and also in association with forward recurrence time distributions with and without Poisson input.
π SIMILAR VOLUMES
P r e v i o u s work on c o m p a r t m e n t a l systems is generalized (i) to allow t h e particles p r e s e n t a t t i m e zero to h a v e a different lifetime d i s t r i b u t i o n t h a n those which arrive after t i m e zero, a n d (ii) to allow a particle which enters t h e s y s t e m a
This paper discusses two compartment models with interaction allowed between the compartments. The total number of particles in the system at any time is discussed along with the number to be found in each separate compartment. An interesting result is that the number of particles in each of the two
The bivariate distribution of a two-compartment stochastic system with irreversible, time-dependent transition probabilities is obtained for any point in time. The mean and variance of the number of particles in any compartment and the covariance between the number of particles in each of the two co
General formulation ol stochastic single-and multi-compartment reversible systems with time-dependent transitions is made. The correspondence between the stochastic mean and the deterministic value is established in case of time-dependence and it is shown how the consequence of this can be utilized