Theory of Random Sets

Ilya Molchanov

ISBN 10: 1849969493 / ISBN 13: 9781849969499

Published by Springer London, Springer London Mär 2012, 2012

About this Item

Neuware -Stochastic geometry is a relatively new branch of mathematics. Although its predecessors such as geometric probability date back to the 18th century, the formal concept of a random set was developed in the beginning of the 1970s. Theory of Random Sets presents a state of the art treatment of the modern theory, but it does not neglect to recall and build on the foundations laid by Matheron and others, including the vast advances in stochastic geometry, probability theory, set-valued analysis, and statistical inference of the 1990s.The book is entirely self-contained, systematic and exhaustive, with the full proofs that are necessary to gain insight. It shows the various interdisciplinary relationships of random set theory within other parts of mathematics, and at the same time, fixes terminology and notation that are often varying in the current literature to establish it as a natural part of modern probability theory, and to provide a platform for future development.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 504 pp. Englisch.

Seller Inventory # 9781849969499

Bibliographic Details

• Title: Theory of Random Sets
• Publisher: Springer London, Springer London Mär 2012
• Publication Date: 2012
• Language: English
• ISBN 10: 1849969493
• ISBN 13: 9781849969499
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

Theory of Random Sets recalls and builds on the foundations laid by Matheron and others to present a state of the art treatment of the modern theory, including the vast advances in stochastic geometry, probability theory, set-valued analysis, and statistical inference of the 1990s. The book is entirely self-contained, systematic and exhaustive, with the full proofs that are necessary to gain insight. It shows the various interdisciplinary relationships of random set theory within other parts of mathematics, and at the same time, fixes terminology and notation that are often varying in the current literature to establish it as a natural part of modern probability theory, and to provide a platform for future development.

About the Author

Ilya Molchanov is Professor of Probability Theory in the Department of Mathematical Statistics and Actuarial Science at the University of Berne, Switzerland.