Statistical Inference for Spatial Processes - Hardcover

Ripley, B. D.

Hardcover

ISBN 10: 0521352347 ISBN 13: 9780521352345

Publisher: Cambridge University Press, 1988

Synopsis

This book is designed for specialists needing an introduction to statistical inference in spatial statistics and its applications. One of the author's themes 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, he 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.

About this title

Book Description

Designed for specialists needing an introduction to statistical inference on spatial statistics, this study discusses the foundational issues throughout as well as the difficulties, both computational and philosophical, which may arise.

From the Back Cover

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.

Edition details

• Publisher: Cambridge University Press
• Publication date: 1988
• ISBN 10: 0521352347
• ISBN 13: 9780521352345
• Binding: Hardcover
• Language: English
• Edition number: 1
• Number of pages: 160