Theory of Random Sets

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Éditeur :

Springer


Collection :

Probability Theory and Stochastic Modelling

Paru le : 2017-12-14

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Description

This monograph, now in a thoroughly revised second edition, offers the latest research on random sets. It has been extended to include substantial developments achieved since 2005, some of them motivated by applications of random sets to econometrics and finance.
The present volume builds on the foundations laid by Matheron and others, including the vast advances in stochastic geometry, probability theory, set-valued analysis, and statistical inference. 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 often vary in the literature, establishing it as a natural part of modern probability theory and providing a platform for future development. It is completely self-contained, systematic and exhaustive, with the full proofs that are necessary to gain insight.
Aimed at research level, Theory of Random Sets will be an invaluable reference for probabilists; mathematicians working in convex and integral geometry, set-valued analysis, capacity and potential theory; mathematical statisticians in spatial statistics and uncertainty quantification; specialists in mathematical economics, econometrics, decision theory, and mathematical finance; and electronic and electrical engineers interested in image analysis.
Pages
678 pages
Collection
Probability Theory and Stochastic Modelling
Parution
2017-12-14
Marque
Springer
EAN papier
9781447173472
EAN PDF
9781447173496

Informations sur l'ebook
Nombre pages copiables
6
Nombre pages imprimables
67
Taille du fichier
9759 Ko
Prix
179,34 €
EAN EPUB
9781447173496

Informations sur l'ebook
Nombre pages copiables
6
Nombre pages imprimables
67
Taille du fichier
12206 Ko
Prix
179,34 €