Results 111 to 120 of about 113,551 (160)

Geometric Probability on the Sphere

Jahresbericht der Deutschen Mathematiker-Vereinigung, 2017
This is a beautiful, expository paper containing many interesting results from geometric probability on the surface of a ball in three-dimensional space. The authors carefully develop the geometric machinery needed to present their arguments in an intuitive, elementary and elegant way.
Maehara, Hiroshi, Martini, Horst
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A Problem in Geometrical Probability

Mathematics Magazine, 1970
(1970). A Problem in Geometrical Probability. Mathematics Magazine: Vol. 43, No. 5, pp. 237-244.
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Invariant Probabilities with Geometric Tail

Probability in the Engineering and Informational Sciences, 1996
We present necessary and suffi2ient Foster-type conditions for a countable state Markov chain to have an invariant probability with at least a geometric tail. These conditions are obtained by using a generalized Farkas Theorem in Linear Algebra. The purpose of this note is also to pose an interesting and important research problem that is still largely
Tijms, H.C., Lasserre, J.B.
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Geometrical Approach to the Theory of Probability

American Journal of Physics, 1961
The purpose of this paper is twofold: first, we wish to present an interesting geometrical approach to the derivation of some familiar equations in the theory of probability, and second, we wish to use this newer approach for extending the scope of the equations.
McLachlan, Dan jun., Chamberlain, L. L.
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A Geometrical Approach to Probability

Mathematics Magazine, 1964
(1964). A Geometrical Approach to Probability. Mathematics Magazine: Vol. 37, No. 5, pp. 287-296.
H. D. Brunk, L. G. Gref
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Geometric probability

The Mathematical Intelligencer, 1998
This is the first of three colloquium lectures given by the author at the annual AMS meeting 1997. It emphasizes the role of intrinsic volumes as a basic notion in geometric probability. After passing from volume and surface area to mean width (in 3-space), the Euler characteristic is discussed in more detail.
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Geometrical Probability Covering Algorithm

2005
In this paper, we propose a novel classification algorithm, called geometrical probability covering (GPC) algorithm, to improve classification ability. On the basis of geometrical properties of data, the proposed algorithm first forms extended prototypes through computing means of any two prototypes in the same class.
Junping Zhang, Stan Z. Li, Jue Wang 0004
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Geometric Probabilities

In the world of mathematics
Geometric probability is a valuable tool for analyzing random events that involve geometric objects, either directly or indirectly. Many problems in probability theory lend themselves to geometric interpretation. With a basic understanding of probability and school-level mathematics, one can solve such problems effectively.
Inna Vyshenska, Svitlana Kushnirenko
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SOLUTION TO A GEOMETRICAL PROBLEM IN PROBABILITY

Annals of Eugenics, 1939
The articles published by the Annals of Eugenics (1925–1954) have been made available online as an historical archive intended for scholarly use. The work of eugenicists was often pervaded by prejudice against racial, ethnic and disabled groups. The online publication of this material for scholarly research purposes is not an endorsement of those views
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