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ISBN 10: 1032477903 ISBN 13: 9781032477909
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Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032477903 ISBN 13: 9781032477909
Language: English
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Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032477903 ISBN 13: 9781032477909
Language: English
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Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032477903 ISBN 13: 9781032477909
Language: English
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Published by Chapman and Hall/CRC, 2005
ISBN 10: 1584884320 ISBN 13: 9781584884323
Language: English
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Published by Chapman and Hall/CRC, 2005
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Published by Chapman and Hall/CRC, 2005
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Published by Chapman and Hall/CRC, 2005
ISBN 10: 1584884320 ISBN 13: 9781584884323
Language: English
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Published by Chapman and Hall/CRC, 2005
ISBN 10: 1584884320 ISBN 13: 9781584884323
Language: English
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Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032477903 ISBN 13: 9781032477909
Language: English
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
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Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 1st edition. 280 pages. 9.00x6.25x0.75 inches. In Stock. This item is printed on demand.
Published by Chapman And Hall/CRC, 2005
ISBN 10: 1584884320 ISBN 13: 9781584884323
Language: English
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Gaussian Markov Random Field (GMRF) models, most widely used in spatial statistics are presented in this, the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the computational aspects.