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Case Studies in Spatial Point Process Modeling

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Cover of 'Case Studies in Spatial Point Process Modeling'

Table of Contents

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    Book Overview
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    Chapter 1 Fundamentals of Point Process Statistics
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    Chapter 2 Modelling Spatial Point Patterns in R
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    Chapter 3 Strong Markov Property of Poisson Processes and Slivnyak Formula
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    Chapter 4 Bayesian Analysis of Markov Point Processes
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    Chapter 5 Statistics for Locally Scaled Point Processes
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    Chapter 6 Nonparametric Testing of Distribution Functions in Germ-grain Models
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    Chapter 7 Principal Component Analysis for Spatial Point Processes — Assessing the Appropriateness of the Approach in an Ecological Context
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    Chapter 8 On Modelling of Refractory Castables by Marked Gibbs and Gibbsian-like Processes
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    Chapter 9 Source Detection in an Outbreak of Legionnaire’s Disease
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    Chapter 10 Doctors’ Prescribing Patterns in the Midi-Pyrénées rRegion of France: Point-process Aggregation
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    Chapter 11 Strain-typing Transmissible Spongiform Encephalopathies Using Replicated Spatial Data
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    Chapter 12 Modelling the Bivariate Spatial Distribution of Amacrine Cells
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    Chapter 13 Analysis of Spatial Point Patterns in Microscopic and Macroscopic Biological Image Data
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    Chapter 14 Spatial Marked Point Patterns for Herd Dispersion in a Savanna Wildlife Herbivore Community in Kenya
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    Chapter 15 Diagnostic Analysis of Space-Time Branching Processes for Earthquakes
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    Chapter 16 Assessing Spatial Point Process Models Using Weighted K-functions: Analysis of California Earthquakes
Attention for Chapter 1: Fundamentals of Point Process Statistics
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Chapter title
Fundamentals of Point Process Statistics
Chapter number 1
Book title
Case Studies in Spatial Point Process Modeling
Published by
Springer New York, January 2006
DOI 10.1007/0-387-31144-0_1
Book ISBNs
978-0-387-28311-1, 978-0-387-31144-9
Authors

Dietrich Stoyan

Editors

Adrian Baddeley, Pablo Gregori, Jorge Mateu, Radu Stoica, Dietrich Stoyan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 46%
Professor > Associate Professor 2 15%
Lecturer > Senior Lecturer 1 8%
Student > Bachelor 1 8%
Other 1 8%
Other 2 15%
Readers by discipline Count As %
Mathematics 3 23%
Agricultural and Biological Sciences 2 15%
Engineering 2 15%
Biochemistry, Genetics and Molecular Biology 1 8%
Computer Science 1 8%
Other 4 31%