@article{ref1,
title="Monitoring workplace safety: Nonlinear optimization in a statistical model",
journal="Mathematical and computer modelling",
year="1989",
author="Chapman, G.R. and Knop, L.E.",
volume="12",
number="6",
pages="695-705",
abstract="Given a cluster of enclosed work areas, the problem is to maintain frequent monitoring of the atmosphere in each area for hazardous levels of contaminants. A central mass spectrometer is capable of doing this monitoring, provided it can be used efficiently. Mathematically, a mass spectrometer may be modeled by a general linear statistical model where the unknowns are the concentrations of the possible contaminants and the observations are the gate readings of the number of ions with a chosen mass/charge ratio. The accuracy of the observations depends on time, and the necessity for frequent monitoring imposes a time constraint. The mathematical problem can be formulated as a problem in the theory of optimal experimental designs. This paper will present a theoretical solution to the problem, an algorithm to implement that solution and some empirical results obtained from the implementation.<p />",
language="",
issn="0895-7177",
doi="10.1016/0895-7177(89)90355-5",
url="http://dx.doi.org/10.1016/0895-7177(89)90355-5"
}