Theory of Random Sets

de

Éditeur :

Springer


Collection :

Probability and Its Applications

Paru le : 2005-11-28

eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
95,39

Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description
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.
Pages
488 pages
Collection
Probability and Its Applications
Parution
2005-11-28
Marque
Springer
EAN papier
9781852338923
EAN PDF
9781846281501

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
48
Taille du fichier
3502 Ko
Prix
95,39 €