Theory of Spatial Statistics A Concise Introduction |
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Author:
| van Lieshout, M. N. M. |
Series title: | Chapman and Hall/CRC Texts in Statistical Science Ser. |
ISBN: | 978-0-367-14642-9 |
Publication Date: | Mar 2019 |
Publisher: | CRC Press LLC
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Imprint: | Chapman & Hall/CRC |
Book Format: | Hardback |
List Price: | USD $175.00 |
Book Description:
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Theory of Spatial Statistics: A Concise Introductionpresents 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...
More DescriptionTheory of Spatial Statistics: A Concise Introductionpresents 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.mp;lt;BR>* 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.