RIS ID
73465
Abstract
The 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.
Publication Details
Cressie, N. A. & Laslett, G. M. (1987). Random set theory and problems of modeling. SIAM Review, 29 (4), 557-574.