Title
Spatial Statistics and Modeling (Springer Series in Statistics),Used
Delivery time: 8-12 business days (International)
Spatial statistics are useful in subjects as diverse as climatology, ecology, economics, environmental and earth sciences, epidemiology, image analysis and more. This book covers the bestknown spatial models for three types of spatial data: geostatistical data (stationarity, intrinsic models, variograms, spatial regression and spacetime models), areal data (GibbsMarkov fields and spatial autoregression) and point pattern data (Poisson, Cox, Gibbs and Markov point processes). The level is relatively advanced, and the presentation concise but complete.The most important statistical methods and their asymptotic properties are described, including estimation in geostatistics, autocorrelation and secondorder statistics, maximum likelihood methods, approximate inference using the pseudolikelihood or MonteCarlo simulations, statistics for point processes and Bayesian hierarchical models. A chapter is devoted to Markov Chain Monte Carlo simulation (Gibbs sampler, MetropolisHastings algorithms and exact simulation).A large number of real examples are studied with R, and each chapter ends with a set of theoretical and applied exercises. While a foundation in probability and mathematical statistics is assumed, three appendices introduce some necessary background. The book is accessible to senior undergraduate students with a solid math background and Ph.D. students in statistics. Furthermore, experienced statisticians and researchers in the abovementioned fields will find the book valuable as a mathematically sound reference.This book is the English translation of Modlisation et Statistique Spatiales published by Springer in the series Mathmatiques & Applications, a series established by Socit de Mathmatiques Appliques et Industrielles (SMAI).
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This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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