COMPUTATIONAL AND ESTIMATION PROCEDURES IN MULTIDIMENSIONAL RIGHT-SHIFT PROCESSES AND SOME APPLICATIONS.

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.