Statistical Inference for Spatial Processes
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Product details:
- Edition number New ed
- Publisher Cambridge University Press
- Date of Publication 18 July 1991
- ISBN 9780521424202
- Binding Paperback
- No. of pages160 pages
- Size 229x152x9 mm
- Weight 240 g
- Language English
- Illustrations 50 b/w illus. 0
Categories
Short description:
This book introduces statistical inference in spatial statistics and its applications.
MoreLong description:
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 the demonstration of 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 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 summarising 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.
' ... this monograph is required reading for anyone interested in the theory of spatial processes.' Biometrics
Table of Contents:
Introduction; 1. Likelihood analysis for spatial Gaussian processes; 2. Edge correction for spatial point processes; 3. Parameter estimation for Gibbsian point processes; 4. Modelling spatial images; 5. Summarizing binary images.
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