A Markovian Flow Model: The Analysis of Movement in Large-Scale (Military) Personnel Systems
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Author(s):
Merck, J. W., Hall, Kathleen
Corporate Author(s): RAND Corporation
Corporate Report Number: R-514-PR
Date of Publication: 1971-02
Pages: 131
Contract: F44620-67-C-0045
DoD Project: Project RAND
DoD Task:
Identifier: AD0720240
Abstract:
The report describes a model of social mobility to provide information concerning patterns of movement, projections of the existing military population into the future, and the impact produced by changes in the rate of movement. The model and computing procedures permit personnel managers to create an information system that describes the social and geographic mobility that military personnel continually undergo. Derived from mathematical concepts of Markovian processes, the model is presented as a series of FORTRAN subroutines capable of being used on a variety of contemporary computers. The model's principal attribute is its capacity to create future expected values given the starting distributions and a matrix of transition probabilities.
Provenance: Borg-Warner
Corporate Author(s): RAND Corporation
Corporate Report Number: R-514-PR
Date of Publication: 1971-02
Pages: 131
Contract: F44620-67-C-0045
DoD Project: Project RAND
DoD Task:
Identifier: AD0720240
Abstract:
The report describes a model of social mobility to provide information concerning patterns of movement, projections of the existing military population into the future, and the impact produced by changes in the rate of movement. The model and computing procedures permit personnel managers to create an information system that describes the social and geographic mobility that military personnel continually undergo. Derived from mathematical concepts of Markovian processes, the model is presented as a series of FORTRAN subroutines capable of being used on a variety of contemporary computers. The model's principal attribute is its capacity to create future expected values given the starting distributions and a matrix of transition probabilities.
Provenance: Borg-Warner