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

Richard J. Kryscio; Norman C. Severo

doi:10.1017/S0001867800046024

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

Richard J. Kryscio, Norman C. Severo

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

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	https://doi.org/10.1017/S0001867800046024
State	Published - 1975

ASJC Scopus subject areas

Statistics and Probability
Applied Mathematics

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10.1017/S0001867800046024

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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.",

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

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