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Theory of Spatial Statistics: A Concise Introduction
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Librairie Eyrolles - Paris 5e
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Theory of Spatial Statistics: A Concise Introduction

Theory of Spatial Statistics: A Concise Introduction

M.N.M. van Lieshout

168 pages, parution le 04/03/2019

Résumé

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.

Introduction

Random field modelling and interpolation

Models and inference for areal unit data

Spatial point processes

Appendix: Solutions to theoretical exercises

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.

Caractéristiques techniques

  PAPIER
Éditeur(s) Taylor&francis
Auteur(s) M.N.M. van Lieshout
Parution 04/03/2019
Nb. de pages 168
EAN13 9780367146399

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