Overview
- Frontier theoretical work on point processes, random fields and integral geometry
- Extensive applications in materials science, biology and genetics
- Extensive codes in Matlab and R that help the reader with applications
- Many examples help the reader to deepen their understanding
Part of the book series: Lecture Notes in Mathematics (LNM, volume 2120)
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Table of contents (13 chapters)
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Stochastic Geometry, Spatial Statistics and Random Fields
Book Subtitle: Models and Algorithms
Editors: Volker Schmidt
Series Title: Lecture Notes in Mathematics
DOI: https://doi.org/10.1007/978-3-319-10064-7
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-10063-0Published: 06 November 2014
eBook ISBN: 978-3-319-10064-7Published: 24 October 2014
Series ISSN: 0075-8434
Series E-ISSN: 1617-9692
Edition Number: 1
Number of Pages: XXIV, 464
Number of Illustrations: 70 b/w illustrations, 63 illustrations in colour
Topics: Probability Theory and Stochastic Processes, Mathematical Modeling and Industrial Mathematics, Algorithms, Geometry