Theory of Spatial Statistics - A Concise Introduction (Hardcover)

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.

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Series:	Chapman & Hall/CRC Texts in Statistical Science
Release date:	March 2019
First published:	2019
Authors:	M.N.M. van Lieshout
Dimensions:	234 x 156 x 17mm (L x W x T)
Format:	Hardcover
Pages:	168
ISBN-13:	978-0-367-14642-9
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	0-367-14642-8
Barcode:	9780367146429

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