Theory of Spatial Statistics : A Concise Introduction PDF
by M.N.M. van Lieshout
Part of the Chapman & Hall/CRC Texts in Statistical Science series
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Description
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.
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- Format:PDF
- Pages:182 pages
- Publisher:CRC Press
- Publication Date:19/03/2019
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- ISBN:9780429628672
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Information
-
Download Now
- Format:PDF
- Pages:182 pages
- Publisher:CRC Press
- Publication Date:19/03/2019
- Category:
- ISBN:9780429628672