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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.
- Provides a concise introduction to the theory of spatial statistics.
- Adopts a lucid and concise approach focussing on the theoretical details.
- Covers the main types of spatial data.
- Includes examples with R code.
- Includes exercises.
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.
- Provides a concise introduction to the theory of spatial statistics.
- Adopts a lucid and concise approach focussing on the theoretical details.
- Covers the main types of spatial data.
- Includes examples with R code.
- Includes exercises.
| Erscheinungsjahr: | 2019 |
|---|---|
| Medium: | Taschenbuch |
| Reihe: | Chapman & Hall/CRC Texts in Statistical Science |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9780367146399 |
| ISBN-10: | 0367146398 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | M.N.M. van Lieshout |
| Auflage: | 1. Auflage |
| Hersteller: | CRC Press |
| Verantwortliche Person für die EU: | preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de |
| Abbildungen: | 29 schwarz-weiß Illustrationen|7 schwarz-weiß Fotos|22 schwarz-weiß Zeichnungen |
| Maße: | 234 x 156 x 9 mm |
| Von/Mit: | M.N.M. van Lieshout |
| Erscheinungsdatum: | 11.03.2019 |
| Gewicht: | 0,517 kg |
| Erscheinungsjahr: | 2019 |
|---|---|
| Medium: | Taschenbuch |
| Reihe: | Chapman & Hall/CRC Texts in Statistical Science |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9780367146399 |
| ISBN-10: | 0367146398 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | M.N.M. van Lieshout |
| Auflage: | 1. Auflage |
| Hersteller: | CRC Press |
| Verantwortliche Person für die EU: | preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de |
| Abbildungen: | 29 schwarz-weiß Illustrationen|7 schwarz-weiß Fotos|22 schwarz-weiß Zeichnungen |
| Maße: | 234 x 156 x 9 mm |
| Von/Mit: | M.N.M. van Lieshout |
| Erscheinungsdatum: | 11.03.2019 |
| Gewicht: | 0,517 kg |
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