Stochastic Geometry and its Applications

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  • Stochastic Geometry and its Applications Book Detail

  • Author : Dietrich Stoyan
  • Release Date : 2009-03-16
  • Publisher : Wiley
  • Genre : Mathematics
  • Pages : 458
  • ISBN 13 : 9780470743645
  • File Size : 59,59 MB

Stochastic Geometry and its Applications by Dietrich Stoyan PDF Summary

Book Description: The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists. Stochastic geometry and spatial statistics play a fundamental role in many modern branches of physics, materials sciences, biology and environmental sciences. They offer successful models for the description of random two- and three-dimensional micro and macro structures and statistical methods for their analysis. The book deals with the following topics: point processes random sets random measures random shapes fibre and surface processes tessellations stereological methods. This book has served as the key reference in its field for over 20 years and is regarded as the best treatment of the subject of stochastic geometry, both as an subject with vital applications to spatial statistics and as a very interesting field of mathematics in its own right.

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Stochastic Geometry and its Applications

Stochastic Geometry and its Applications

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The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists. Stochastic geometry and s

Stochastic Geometry and Its Applications

Stochastic Geometry and Its Applications

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Following the style of the first edition, the authors make the results and methods of stochastic geometry and spatial statistics accessible to practitioners and

Stochastic Geometry and Its Applications

Stochastic Geometry and Its Applications

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An extensive update to a classic text Stochastic geometry and spatial statistics play a fundamental role in many modern branches of physics, materials sciences,

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Stochastic and Integral Geometry

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Stochastic geometry deals with models for random geometric structures. Its early beginnings are found in playful geometric probability questions, and it has vig