Model-based Geostatistics (Springer Series in Statistics)

Peter J. Diggle; Paulo Justiniano Ribeiro

ISBN 10: 0387329072 / ISBN 13: 9780387329079

Edité par Springer, 2007

A propos de cet article

This is a fine, as new, hardcover first edition, first printing copy, no DJ, brown-yelllow binding. 228 pages with index.

N° de réf. du vendeur 103984

Détails bibliographiques

• Titre: Model-based Geostatistics (Springer Series in Statistics)
• Éditeur: Springer
• Date de parution: 2007
• Langue: anglais
• ISBN à 10 chiffres: 0387329072
• ISBN à 13 chiffres: 9780387329079
• Reliure: Hardcover
• Édition: 1st Edition
• État de l'article: As New
• État de la jaquette: No Jacket

A propos de ce titre

Synopsis

This volume is the first book-length treatment of model-based geostatistics. Geostatistics is concerned with estimation and prediction problems for spatially continuous phenomena, using data obtained at a limited number of spatial locations. Model-based geostatistics refers to the application of general statistical principles of modeling and inference to geostatistical problems. The authors have written an expository text, emphasizing statistical methods and applications rather than the underlying mathematical theory. Analyses of datasets from a range of scientific contexts feature prominently, and simulations are used to illustrate theoretical results. Readers can reproduce most of the computational results in the book by using the authors' R-based software package, geoR, whose usage is illustrated in a computation section at the end of each chapter. The book assumes a working knowledge of classical and Bayesian methods of inference, linear models, and generalized linear models.