Abstract
It has been pointed out repeatedly in the literature that the methods of integral geometry (a mathematical theory founded by Wilhelm Blaschke and considerably extended by several mathematicians) provide highly suitable means for the solution of problems concerning “geometrical probabilities“ [2; 6; 12; 15]. The possibilities for the application of these integral geometric results to the evaluation of probabilities, satisfying certain conditions of invariance with respect to a group of transformations which acts on the probability space, are obviously not yet exhausted. In this article, such applications are presented. First, some concepts and notation are introduced (§1). In the next section we derive some integral geometric relations (§ 2). These results are generalizations of known systems of formulae and they are valid in the k-dimensional Euclidean space. In § 3, we determine mean-value formulae for the fundamental characteristics of point-sets, generated by randomly placed convex bodies.
Publisher
Canadian Mathematical Society
Cited by
20 articles.
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1. A Study on the Multiple Improper Integral Problems with Maple;Applied Mechanics and Materials;2013-12
2. Using Maple to Study the Multiple Improper Integral Problem;Proceedings of the Institute of Industrial Engineers Asian Conference 2013;2013
3. Stochastic and Integral Geometry;Probability and Its Applications;2008
4. Integral Geometry;Handbook of Convex Geometry;1993
5. Objects arranged randomly in space: an accessible theory;Advances in Applied Probability;1989-09