Abstract
A right-shift process is a Markov process with multidimensional finite state space on which the infinitesimal transition movement is a shifting of one unit from one coordinate to some other to its right. A multidimensional right-shift process consists of v greater than equivalent to 1 concurrent and dependent right-shift processes. In this paper, applications of multidimensional right-shift processes to some well known examples from epidemic theory, queueing theory and the Beetle problem due to Lucien LeCam are discussed.
| Original language | English |
|---|---|
| Pages (from-to) | 349-382 |
| Number of pages | 34 |
| Journal | Advances in Applied Probability |
| Volume | 7 |
| Issue number | 2 |
| DOIs | |
| State | Published - 1975 |
ASJC Scopus subject areas
- Statistics and Probability
- Applied Mathematics