Theory of Spatial Statistics

A Concise Introduction
1. Auflage 2019
ISBN: 978-0-367-14642-9
Verlag: Chapman and Hall/CRC

Buch, Englisch, 182 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 446 g

Reihe: Chapman & Hall/CRC Texts in Statistical Science

Theory of Spatial Statistics: A Concise Introduction presents the most important models used in spatial statistics, including random fields and point processes, from a rigorous mathematical point of view and shows how to carry out statistical inference. It contains full proofs, real-life examples and theoretical exercises. Solutions to the latter are available in an appendix.

Assuming maturity in probability and statistics, these concise lecture notes are self-contained and cover enough material for a semester course. They may also serve as a reference book for researchers.

Features
* Presents the mathematical foundations of spatial statistics.
* Contains worked examples from mining, disease mapping, forestry, soil and environmental science, and criminology.
* Gives pointers to the literature to facilitate further study.
* Provides example code in R to encourage the student to experiment.
* Offers exercises and their solutions to test and deepen understanding.

The book is suitable for postgraduate and advanced undergraduate students in mathematics and statistics.

Autoren/Hrsg.

Lieshout, M. N. M. van

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik
• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Umwelttechnik
• Geowissenschaften Umweltwissenschaften Umwelttechnik

Inhaltsverzeichnis

1. Introduction. 2. Random field modelling and interpolation. 3. Models and inference for areal unit data. 4. Spatial point processes. Appendix: Solutions to theoretical exercises

Über Autor(innen)

Marie-Colette van Lieshout is a Researcher in the group Stochastics of the Centre for Mathematics and Computer Science CWI and at the University Twente.