Asymptotic Analysis of Stationary Random Tessellations
Applications in Network Modelling
(Sprache: Englisch)
In the recent decade, methods and models from stochastic geometry and spatial statistics have found widespread applications in analysing and modelling of network structures and have become established alternatives to traditional techniques.This book...
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In the recent decade, methods and models from stochastic geometry and spatial statistics have found widespread applications in analysing and modelling of network structures and have become established alternatives to traditional techniques.This book provides an account of random network techniques. In a first part, random geometric models are introduced. The focus is centred on random tessellations and the study of their asymptotic behaviour. Central limit theorems for a variety of model functionals are derived resulting in asymptotic tests and confidence intervals. Goodness-of-fit is examined through simulation studies and the relevance for practical application in network modelling is demonstrated. In a second part, a project is presented that deals with random modelling of telecommunication networks for cost evaluation and strategic planning. An innovative model fitting technique, based on the minimisation of distance functions, is introduced. Such functions arise from mean value relations of network characteristics and for several random tessellations of the Poisson family explicit expressions are given. This in turn allows for fast and efficient model fitting.
Autoren-Porträt von Hendrik Schmidt
After studies in Mathematics in Ulm (Germany) and Milwaukee(USA), Hendrik Schmidt passed his Phd at Ulm University in 2006. Hethen joined France Telecom R&D (Paris, France) and is currentlywith the biostatistics unit of Boehringer Ingelheim (Germany). Hismain research focus is on spatial statistics and design andanalysis of clinical trials.
Bibliographische Angaben
- Autor: Hendrik Schmidt
- 2008, 240 Seiten, Maße: 15 x 22 cm, Kartoniert (TB), Englisch
- Verlag: VDM Verlag Dr. Müller e.K.
- ISBN-10: 3639059026
- ISBN-13: 9783639059021
Sprache:
Englisch
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