Random set theory and problems of modelingFaculty of Informatics - Papers (Archive)
AbstractThe three- or four-dimensional world in which we live is full of objects to be measured and summarized. Very often a parsimonious finite collection of measurements is enough for scientific investigation into an object’s genesis and evolution. There is a growing need, however, to describe and model objects through their form as well as their size. The purpose of this article is to show the potentials and limitations of a probabilistic and statistical approach. Collections of objects (the data) are assimilated to a random set (the model), whose parameters provide description and/or explanation.
Citation InformationNoel A Cressie and G M Laslett. "Random set theory and problems of modeling" (1987) p. 557 - 574
Available at: http://works.bepress.com/noel_cressie/160/