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Gaussian Markov Random Fields: Theory and Applications by Havard Rue: New - Picture 1 of 1
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Gaussian Markov Random Fields: Theory and Applications by Havard Rue: New

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Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
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
Author
Leonhard Held, Havard Rue
Item Weight
19.2 Oz
Item Width
6.3 in
Number of Pages
280 Pages

About this product

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
Author
Leonhard Held, Havard Rue
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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