Published by Chapman and Hall/CRC, 2023
ISBN 10: 0367760673 ISBN 13: 9780367760670
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Published by Chapman and Hall/CRC, 2023
ISBN 10: 0367760673 ISBN 13: 9780367760670
Language: English
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Published by Chapman and Hall/CRC, 2023
ISBN 10: 0367760673 ISBN 13: 9780367760670
Language: English
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Published by Chapman and Hall/CRC, 2023
ISBN 10: 0367760673 ISBN 13: 9780367760670
Language: English
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Published by Chapman and Hall/CRC, 2023
ISBN 10: 0367760673 ISBN 13: 9780367760670
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Published by Chapman and Hall/CRC, 2023
ISBN 10: 0367760673 ISBN 13: 9780367760670
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Published by Chapman and Hall/CRC, 2023
ISBN 10: 0367760673 ISBN 13: 9780367760670
Language: English
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Published by Taylor & Francis Ltd, 2023
ISBN 10: 0367760673 ISBN 13: 9780367760670
Language: English
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Published by Chapman and Hall/CRC, 2023
ISBN 10: 0367760673 ISBN 13: 9780367760670
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Published by Chapman and Hall/CRC, 2023
ISBN 10: 0367760673 ISBN 13: 9780367760670
Language: English
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Published by Chapman and Hall/CRC, 2023
ISBN 10: 0367760673 ISBN 13: 9780367760670
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Chapman and Hall/CRC -, 2021
ISBN 10: 0367490129 ISBN 13: 9780367490126
Language: English
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Published by Routledge (edition 1), 2021
ISBN 10: 0367490129 ISBN 13: 9780367490126
Language: English
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367490129 ISBN 13: 9780367490126
Language: English
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367490129 ISBN 13: 9780367490126
Language: English
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367490129 ISBN 13: 9780367490126
Language: English
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Published by Taylor & Francis Ltd, 2021
ISBN 10: 0367490129 ISBN 13: 9780367490126
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Published by Taylor & Francis Group, 2021
ISBN 10: 0367490129 ISBN 13: 9780367490126
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367490129 ISBN 13: 9780367490126
Language: English
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367490129 ISBN 13: 9780367490126
Language: English
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367490129 ISBN 13: 9780367490126
Language: English
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367490129 ISBN 13: 9780367490126
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367490129 ISBN 13: 9780367490126
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketHardcover. Condition: Brand New. 312 pages. 9.21x6.14x0.87 inches. In Stock.
Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367490129 ISBN 13: 9780367490126
Language: English
Seller: Toscana Books, AUSTIN, TX, U.S.A.
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Published by Taylor and Francis Ltd, 2023
ISBN 10: 0367760673 ISBN 13: 9780367760670
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by Chapman And Hall/CRC Mai 2023, 2023
ISBN 10: 0367760673 ISBN 13: 9780367760670
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Progressively more and more attention has been paid to how location affects health outcomes. The area of disease mapping focusses on these problems, and the Bayesian paradigm has a major role to play in the understanding of the complex interplay of context and individual predisposition in such studies of disease. Using R for Bayesian Spatial and Spatio-Temporal Health Modeling provides a major resource for those interested in applying Bayesian methodology in small area health data studies.Features:Review of R graphics relevant to spatial health dataOverview of Bayesian methods and Bayesian hierarchical modeling as applied to spatial dataBayesian Computation and goodness-of-fitReview of basic Bayesian disease mapping modelsSpatio-temporal modeling with MCMC and INLASpecial topics include multivariate models, survival analysis, missing data, measurement error, variable selection, individual event modeling, and infectious disease modelingSoftware for fitting models based on BRugs, Nimble, CARBayes and INLAProvides code relevant to fitting all examples throughout the book at a supplementary websiteThe book fills a void in the literature and available software, providing a crucial link for students and professionals alike to engage in the analysis of spatial and spatio-temporal health data from a Bayesian perspective using R. The book emphasizes the use of MCMC via Nimble, BRugs, and CARBAyes, but also includes INLA for comparative purposes. In addition, a wide range of packages useful in the analysis of geo-referenced spatial data are employed and code is provided. It will likely become a key reference for researchers and students from biostatistics, epidemiology, public health, and environmental science. 300 pp. Englisch.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr Lawson is Professor of Biostatistics in the Division of Biostatistics and Bioinformatics, Department of Public Health Sciences, College of Medicine, MUSC and is an MUSC Distinguished Professor Emeritus and ASA Fellow. His PhD was in Spatial Statistics.