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Gaussian Markov Random Fields: Theory and Applications by Havard Rue: New
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- Book Title
- Gaussian Markov Random Fields: Theory and Applications
- Publication Date
- 2005-02-18
- Pages
- 280
- ISBN
- 9781584884323
- Subject Area
- Mathematics, Science
- Publication Name
- Gaussian Markov Random Fields : Theory and Applications
- Publisher
- CRC Press LLC
- Item Length
- 9.2 in
- Subject
- Probability & Statistics / General, Physics / General
- Publication Year
- 2005
- Series
- Chapman and Hall/Crc Monographs on Statistics and Applied Probability Ser.
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 0.9 in
- Item Weight
- 19.2 Oz
- Item Width
- 6.3 in
- Number of Pages
- 280 Pages
關於產品
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
1584884320
ISBN-13
9781584884323
eBay Product ID (ePID)
44114435
Product Key Features
Number of Pages
280 Pages
Language
English
Publication Name
Gaussian Markov Random Fields : Theory and Applications
Subject
Probability & Statistics / General, Physics / General
Publication Year
2005
Type
Textbook
Subject Area
Mathematics, Science
Series
Chapman and Hall/Crc Monographs on Statistics and Applied Probability Ser.
Format
Hardcover
Dimensions
Item Height
0.9 in
Item Weight
19.2 Oz
Item Length
9.2 in
Item Width
6.3 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2004-061870
Dewey Edition
22
Series Volume Number
104
Illustrated
Yes
Dewey Decimal
519.5
Table Of Content
Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics, a very active area of research in which few up-to-date reference works are available. Gaussian Markov Random Field: Theory and Applications is the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the computational aspects. The book includes extensive case studies and online a c-library for fast and exact simulation. With chapters contributed by leading researchers in the field, this volume is essential reading for statisticians working in spatial theory and its applications, as well as quantitative researchers in a wide range of science fields where spatial data analysis is important.
Synopsis
Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics - a very active area of research in which few up-to-date reference works are available. This is the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the computational aspects. This book includes extensive case-studies and, online, a c-library for fast and exact simulation. With chapters contributed by leading researchers in the field, this volume is essential reading for statisticians working in spatial theory and its applications, as well as quantitative researchers in a wide range of science fields where spatial data analysis is important., Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics -a very active area of research in which few up-to-date reference works are available. Gaussian Markov Random Field: Theory and Applications is the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the computational aspects. It includes extensive case studies and an online C-library for fast and exact simulation. With chapters contributed by leading researchers in the field, this volume is essential reading for statisticians working in spatial theory and its applications, as well as quantitative researchers in a wide range of fields in which spatial data analysis is important.
LC Classification Number
QA274.R84 2005
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