Hostname: page-component-78c5997874-j824f Total loading time: 0 Render date: 2024-11-10T21:12:31.775Z Has data issue: false hasContentIssue false

A semi-Markov model for a multigrade population with Poisson recruitment

Published online by Cambridge University Press:  14 July 2016

Sally I. McClean*
Affiliation:
New University of Ulster
*
Postal address: Mathematics Department, New University of Ulster, Coleraine, N. Ireland, BT52 1SA.

Abstract

We consider a multigrade population with semi-Markov transitions between grades, Poisson arrivals to each grade, and departures from each grade. For this model the joint distribution of the numbers in each grade at any time is found, and the limiting distributions shown to be independently Poisson; this extends a previous result for a multigrade population with Markov transitions and Poisson recruitment.

This model is particularly applicable to manpower planning. The inclusion of semi-Markov transitions allows us to take into account existing knowledge of the distribution of length of service until an individual leaves his firm.

Type
Short Communications
Copyright
Copyright © Applied Probability Trust 1980 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bartholomew, D. J. (1959) Note on the measurement and prediction of labour turnover. J. R. Statist. Soc. A122, 232239.Google Scholar
Bartholomew, D. J. (1973) Stochastic Models for Social Processes , 2nd edn. Wiley, New York.Google Scholar
Fix, E. and Neyman, J. (1951) A simple stochastic model of recovery, relapse, death and loss of patients. Human Biol. 23, 205241.Google ScholarPubMed
Gani, J. (1963) Formulae for projecting enrolments and degrees awarded in universities. J. R. Statist. Soc. A126, 400409.Google Scholar
Hedberg, ?. (1961) The turnover of labour in industry, an actuarial study. Acta Sociologica 5, 129143.CrossRefGoogle Scholar
Lane, K. F. and Andrew, J. E. (1955) A method of labour turnover analysis. J. R. Statist. Soc. A118, 296323.Google Scholar
McClean, S. I. (1976) A continuous-time population model with Poisson recruitment. J. Appl. Prob. 13, 348354.CrossRefGoogle Scholar
McClean, S. I. (1978) Continuous-time stochastic models of a multigrade population. J. Appl. Prob. 15, 2632.CrossRefGoogle Scholar
Pollard, J. H. (1967) Hierarchical population models with Poisson recruitment. J. Appl. Prob. 4, 209213.CrossRefGoogle Scholar
Pyke, R. (1961a) Markov renewal processes. Definition and preliminary properties. Ann. Math. Statist. 32, 12311242.CrossRefGoogle Scholar
Pyke, R. (1961b) Markov renewal processes with finitely many states. Ann. Math. Statist. 32, 12431259.CrossRefGoogle Scholar
Raman, S. and Chiang, C. L. (1973) On a solution of the migration process and the application to a problem in epidemiology. J. Appl. Prob. 10, 718727.CrossRefGoogle Scholar
Young, A. and Almond, G. (1961) Predicting distributions of staff. Computer J. 3, 246250.CrossRefGoogle Scholar
Young, A. (1971) Demographic and ecological models for manpower planning. In Aspects of Manpower Planning , ed. Bartholomew, D. J. and Morris, B. R. English University Press, London.Google Scholar