Statistical Inference for Spatial Processes

Brian D. Ripley

ISBN 10: 0521424208 / ISBN 13: 9780521424202

Editore: Cambridge University Press, 1991

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Druck auf Anfrage Neuware - Printed after ordering - The study of spatial processes and their applications is an important topic in statistics and finds wide application particularly in computer vision and image processing. This book is devoted to statistical inference in spatial statistics and is intended for specialists needing an introduction to the subject and to its applications.One of the themes of the book is to show how these techniques give new insights into classical procedures (including new examples in likelihood theory) and newer statistical paradigms such as Monte-Carlo inference and pseudo-likelihood. Professor Ripley also stresses the importance of edge effects and of the lack of a unique asymptotic setting in spatial problems.Throughout, the author discusses the foundational issues posed and the difficulties, both computational and philosophical, which arise. The final chapters consider image restoration and segmentation methods and the averaging and summarizing of images. Thus, the book will find wide appeal to researchers in computer vision, image processing, and those applying microscopy in biology, geology and materials science, as well as to statisticians interested in the foundations of their discipline.

Codice articolo 9780521424202

Dati bibliografici

• Titolo: Statistical Inference for Spatial Processes
• Editore: Cambridge University Press
• Data di pubblicazione: 1991
• Lingua: Inglese
• ISBN 10: 0521424208
• ISBN 13: 9780521424202
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 229 L x 152 A x 9 P (millimetri) 229 millimetri di larghezza per 152 millimetri di altezza per 9 millimetri di profondità
• Peso: 242 grammi

Descrizione articolo

Riassunto

This book introduces statistical inference in spatial statistics and its applications.

Recensione

' ... this monograph is required reading for anyone interested in the theory of spatial processes.' Biometrics

'All in all, a beautiful introduction to this important area and highly recommended.' Mededelingen van het Wiskundig Genootschap