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Stochastic Geometry, Spatial Statistics and Random Fields

Overview of attention for book
Cover of 'Stochastic Geometry, Spatial Statistics and Random Fields'

Table of Contents

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    Book Overview
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    Chapter 1 Stein’s Method for Approximating Complex Distributions, with a View towards Point Processes
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    Chapter 2 Clustering Comparison of Point Processes, with Applications to Random Geometric Models
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    Chapter 3 Random Tessellations and their Application to the Modelling of Cellular Materials
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    Chapter 4 Stochastic 3D Models for the Micro-structure of Advanced Functional Materials
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    Chapter 5 Boolean Random Functions
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    Chapter 6 Random Marked Sets and Dimension Reduction
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    Chapter 7 Space-Time Models in Stochastic Geometry
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    Chapter 8 Rotational Integral Geometry and Local Stereology - with a View to Image Analysis
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    Chapter 9 An Introduction to Functional Data Analysis
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    Chapter 10 Some Statistical Methods in Genetics
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    Chapter 11 Extrapolation of Stationary Random Fields
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    Chapter 12 Spatial Process Simulation
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    Chapter 13 Introduction to Coupling-from-the-Past using R
Attention for Chapter 7: Space-Time Models in Stochastic Geometry
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Citations

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Chapter title
Space-Time Models in Stochastic Geometry
Chapter number 7
Book title
Stochastic Geometry, Spatial Statistics and Random Fields
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-10064-7_7
Book ISBNs
978-3-31-910063-0, 978-3-31-910064-7
Authors

Viktor Beneš, Michaela Prokešová, Kateřina Staňková Helisová, Markéta Zikmundová

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 67%
Unknown 1 33%
Readers by discipline Count As %
Mathematics 1 33%
Unknown 2 67%

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