Random Measures, Theory and Applications

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Éditeur :

Springer


Collection :

Probability Theory and Stochastic Modelling

Paru le : 2017-04-12

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Description

Offering the first comprehensive treatment of the theory of random measures, this book has a very broad scope, ranging from basic properties of Poisson and related processes to the modern theories of convergence, stationarity, Palm measures, conditioning, and compensation. The three large final chapters focus on applications within the areas of stochastic geometry, excursion theory, and branching processes. Although this theory plays a fundamental role in most areas of modern probability, much of it, including the most basic material, has previously been available only in scores of journal articles. The book is primarily directed towards researchers and advanced graduate students in stochastic processes and related areas.
Pages
680 pages
Collection
Probability Theory and Stochastic Modelling
Parution
2017-04-12
Marque
Springer
EAN papier
9783319415963
EAN PDF
9783319415987

Informations sur l'ebook
Nombre pages copiables
6
Nombre pages imprimables
68
Taille du fichier
5765 Ko
Prix
158,24 €