Hostname: page-component-78c5997874-s2hrs Total loading time: 0 Render date: 2024-11-10T13:44:54.627Z Has data issue: false hasContentIssue false

Variances and covariances of the grade sizes in manpower systems

Published online by Cambridge University Press:  14 July 2016

P.-C. G. Vassiliou*
Affiliation:
University of Thessaloniki
I. Gerontidis*
Affiliation:
University of Thessaloniki
*
Postal address: Statistics and Operations Research Section, Mathematics Department, University of Thessaloniki, Thessaloniki, Greece.
Postal address: Statistics and Operations Research Section, Mathematics Department, University of Thessaloniki, Thessaloniki, Greece.

Abstract

The asymptotic behaviour of the variances and covariances of the class sizes in closed and open manpower systems is considered. Firstly, the homogeneous case is studied and a theorem is stated which provides the answer to the problem in the most general case for the homogeneous Markov-chain models in manpower systems (open systems) and social mobility models (closed systems). Secondly, the non-homogeneous problem is studied and a theorem is given where under certain conditions it is proved that the vector sequences of means, variances and covariances converge. Finally, we relate our theoretical results to examples from the literature on manpower planning.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1985 

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. (1973) Stochastic Models for Social Processes, 2nd edn. Wiley, New York.Google Scholar
Bartholomew, D. J. (1982) Stochastic Models for Social Processes, 3rd edn. Wiley, New York.Google Scholar
Bartholomew, D. J. and Forbes, A. F. (1979) Statistical Techniques for Manpower Planning. Wiley, New York.Google Scholar
Gani, J. (1963) Formulae for projecting enrolments and degrees awarded in universities. J. R. Statist. Soc. A 126, 400409.Google Scholar
Gantmacher, F. R. (1959) Applications of the Theory of Matrices. Interscience Publishers, New York.Google Scholar
Hodge, R. W. (1966) Occupational mobility as a probability process. Demography 3, 1934.Google Scholar
Iosifescu, M. (1980) Finite Markov Processes and their Applications. Wiley, New York.Google Scholar
Isaacson, L. D. and Madsen, W. R. (1976) Markov Chains. Wiley, New York.Google Scholar
Leslie, P. H. (1945) On the use of matrices in certain population mathematics. Biometrika 33, 183212.Google Scholar
Leslie, P. H. (1948) Some further notes on the use of matrices in population mathematics. Biometrika 35, 213245.CrossRefGoogle Scholar
Pollard, J. H. (1966) On the use of direct product matrix in analysing certain stochastic population models. Biometrika 53, 397415.CrossRefGoogle Scholar
Pollard, J. H. (1973) Mathematical Models for Growth of Human Population. Cambridge University Press.Google Scholar
Prais, S. J. (1955) Measuring social mobility. J. R. Statist. Soc. A 118, 5666.Google Scholar
Rogoff, N. (1953) Recent Trends in Occupational Mobility. Free Press, Glencoe, Illinois.Google Scholar
Vassiliou, P.-C. G. (1976) A Markov chain model for prediction of wastage in manpower systems. Operat. Res. Quart. 27, 5776.CrossRefGoogle Scholar
Vassiliou, P.-C. G. (1978) A high order Markovian model for promotion in manpower systems. J. R. Statist. Soc. A 141, 8694.Google Scholar
Young, A. (1971) Demographic and ecological models in manpower planning. In Aspects of Manpower Planning, ed. Bartholomew, D. J. and Morris, B. R., English Universities Press, London, 7597.Google Scholar
Young, A. and Almond, G. (1961) Predicting distributions of staff. Comp. J. 3, 246250.Google Scholar
Young, A. and Vassiliou, P.-C. G. (1974) A non-linear model on the promotion of staff. J. R. Statist. Soc. A 137, 584595.Google Scholar