Statistical Inference for Spatial Processes is popular PDF and ePub book, written by B. D. Ripley in 1988, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Statistical Inference for Spatial Processes can be Read Online from any device for your convenience.
Statistical Inference for Spatial Processes Book PDF Summary
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.
Detail Book of Statistical Inference for Spatial Processes PDF
- Author : B. D. Ripley
- Release : 30 June 1988
- Publisher : Cambridge University Press
- ISBN : 0521424208
- Genre : Mathematics
- Total Page : 162 pages
- Language : English
- PDF File Size : 9,9 Mb
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