Stochastic Geometry, Spatial Statistics and Random Fields Asymptotic Methods /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Spodarev, Evgeny. (Editor)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Series: Lecture Notes in Mathematics, 2068
• Subjects: Mathematics.; Discrete groups.; Distribution (Probability theory).; Mathematical statistics.; Convex and Discrete Geometry.; Probability Theory and Stochastic Processes.; Statistical Theory and Methods.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-33305-7
• Physical Description: XXIV, 446 p. 105 illus., 27 illus. in color. online resource.
• ISBN: 9783642333057
• ISSN: 0075-8434

This volume provides a modern introduction to stochastic geometry, random fields and spatial statistics at a (post)graduate level. It is focused on asymptotic methods in geometric probability including weak and strong limit theorems for random spatial structures (point processes, sets, graphs, fields) with applications to statistics. Written as a contributed volume of lecture notes, it will be useful not only for students but also for lecturers and researchers interested in geometric probability and related subjects.