Statistical inference for spatial processes:
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 th...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
1988
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| Schlagwörter: | |
| Links: | https://doi.org/10.1017/CBO9780511624131 https://doi.org/10.1017/CBO9780511624131 https://doi.org/10.1017/CBO9780511624131 |
| Zusammenfassung: | 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 |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Umfang: | 1 online resource (viii, 148 pages) |
| ISBN: | 9780511624131 |
| DOI: | 10.1017/CBO9780511624131 |
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Datensatz im Suchindex
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| author | Ripley, Brian D. 1952- |
| author_facet | Ripley, Brian D. 1952- |
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| dewey-full | 519.5/4 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
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| discipline | Mathematik |
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| id | DE-604.BV043943256 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T17:49:20Z |
| institution | BVB |
| isbn | 9780511624131 |
| language | English |
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| physical | 1 online resource (viii, 148 pages) |
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| publishDate | 1988 |
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| publisher | Cambridge University Press |
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| spelling | Ripley, Brian D. 1952- Verfasser aut Statistical inference for spatial processes B.D. Ripley Cambridge Cambridge University Press 1988 1 online resource (viii, 148 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) 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 Spatial analysis (Statistics) Statistik (DE-588)4056995-0 gnd rswk-swf Statistische Entscheidungstheorie (DE-588)4077850-2 gnd rswk-swf Punktprozess (DE-588)4138173-7 gnd rswk-swf Mustererkennung (DE-588)4040936-3 gnd rswk-swf Raumdaten (DE-588)4206012-6 gnd rswk-swf Raumdaten (DE-588)4206012-6 s Statistik (DE-588)4056995-0 s 1\p DE-604 Punktprozess (DE-588)4138173-7 s Statistische Entscheidungstheorie (DE-588)4077850-2 s 2\p DE-604 Mustererkennung (DE-588)4040936-3 s 3\p DE-604 Erscheint auch als Druckausgabe 978-0-521-35234-5 Erscheint auch als Druckausgabe 978-0-521-42420-2 https://doi.org/10.1017/CBO9780511624131 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Ripley, Brian D. 1952- Statistical inference for spatial processes Spatial analysis (Statistics) Statistik (DE-588)4056995-0 gnd Statistische Entscheidungstheorie (DE-588)4077850-2 gnd Punktprozess (DE-588)4138173-7 gnd Mustererkennung (DE-588)4040936-3 gnd Raumdaten (DE-588)4206012-6 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4077850-2 (DE-588)4138173-7 (DE-588)4040936-3 (DE-588)4206012-6 |
| title | Statistical inference for spatial processes |
| title_auth | Statistical inference for spatial processes |
| title_exact_search | Statistical inference for spatial processes |
| title_full | Statistical inference for spatial processes B.D. Ripley |
| title_fullStr | Statistical inference for spatial processes B.D. Ripley |
| title_full_unstemmed | Statistical inference for spatial processes B.D. Ripley |
| title_short | Statistical inference for spatial processes |
| title_sort | statistical inference for spatial processes |
| topic | Spatial analysis (Statistics) Statistik (DE-588)4056995-0 gnd Statistische Entscheidungstheorie (DE-588)4077850-2 gnd Punktprozess (DE-588)4138173-7 gnd Mustererkennung (DE-588)4040936-3 gnd Raumdaten (DE-588)4206012-6 gnd |
| topic_facet | Spatial analysis (Statistics) Statistik Statistische Entscheidungstheorie Punktprozess Mustererkennung Raumdaten |
| url | https://doi.org/10.1017/CBO9780511624131 |
| work_keys_str_mv | AT ripleybriand statisticalinferenceforspatialprocesses |