Stochastic and Integral Geometry

Stochastic geometry has in recent years experienced considerable progress, both in its applications to other sciences and engineering, and in its theoretical foundations and mathematical expansion. This book, by two eminent specialists of the subject, provides a solid mathematical treatment of the b...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Schneider, Rolf (Author), Weil, Wolfgang (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:Probability and Its Applications
Subjects:
Probabilities.
Convex geometry .
Discrete geometry.
Probability Theory.
Convex and Discrete Geometry.
Online Access:Texto Completo
Table of Contents:
  • Foundations of Stochastic Geometry
  • Prolog
  • Random Closed Sets
  • Point Processes
  • Geometric Models
  • Integral Geometry
  • Averaging with Invariant Measures
  • Extended Concepts of Integral Geometry
  • Integral Geometric Transformations
  • Selected Topics from Stochastic Geometry
  • Some Geometric Probability Problems
  • Mean Values for Random Sets
  • Random Mosaics
  • Non-stationary Models
  • Facts from General Topology
  • Invariant Measures
  • Facts from Convex Geometry.

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