Title :
A State-Space Model for the Student Population in an Educational System
Author :
Sinha, Naresh K. ; Dicenzo, Colin D.
Author_Institution :
Department of Electrical Engineering, McMaster University, Hamilton, Ont., Canada.
fDate :
7/1/1975 12:00:00 AM
Abstract :
A stochastic approximation method is presented for determining the parameters of a stochastic state-space model for the student enrollment vector in an educational system. As an example, the parameters of such a model are derived for the student population in the Faculty of Engineering of McMaster University, Hamilton, Ont., Canada.
Keywords :
Approximation methods; Helium; Sampling methods; Statistics; Stochastic processes; Stochastic systems;
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
DOI :
10.1109/TSMC.1975.5408435