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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.
| Autorius: | M. N. M. van Lieshout |
| Leidėjas: | Chapman and Hall/CRC |
| Išleidimo metai: | 2019 |
| Knygos puslapių skaičius: | 184 |
| ISBN-10: | 0367146428 |
| ISBN-13: | 9780367146429 |
| Formatas: | 240 x 161 x 15 mm. Knyga kietu viršeliu |
| Kalba: | Anglų |
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