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  • 1
    Online Resource
    Online Resource
    Cambridge : Cambridge University Press
    UID:
    gbv_88336798X
    Format: 1 Online-Ressource (xi, 286 pages) , digital, PDF file(s).
    ISBN: 9781139086561
    Series Statement: Encyclopedia of mathematics and its applications volume 33
    Content: This unique book develops the classical subjects of geometric probability and integral geometry, and the more modern one of stochastic geometry, in rather a novel way to provide a unifying framework in which they can be studied. The author focuses on factorisation properties of measures and probabilities implied by the assumption of their invariance with respect to a group, in order to investigate non-trivial factors. The study of these properties is the central theme of the book. Basic facts about integral geometry and random point process theory are developed in a simple geometric way, so that the whole approach is suitable for a non-specialist audience. Even in the later chapters, where the factorisation principles are applied to geometrical processes, the prerequisites are only standard courses on probability and analysis. The main ideas presented here have application to such areas as stereology and tomography, geometrical statistics, pattern and texture analysis. This book will be well suited as a starting point for individuals working in those areas to learn about the mathematical framework. It will also prove valuable as an introduction to geometric probability theory and integral geometry based on modern ideas.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015)
    Additional Edition: ISBN 9780521089784
    Additional Edition: ISBN 9780521345354
    Additional Edition: ISBN 9780521345354
    Additional Edition: ISBN 9780521089784
    Additional Edition: Erscheint auch als Ambartzumian, R. V., 1940 - Factorization calculus and geometric probability Cambridge [u.a.] : Cambridge University Press, 1990 ISBN 9780521345354
    Additional Edition: ISBN 0521345359
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9780521345354
    Language: English
    Subjects: Mathematics
    RVK:
    RVK:
    RVK:
    Keywords: Stochastische Geometrie ; Geometrische Wahrscheinlichkeit ; Faktorisierung
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