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Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
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Published by Chapman and Hall/CRC, 2021
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
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Published by Taylor & Francis Ltd, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
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Published by Chapman and Hall/CRC 2021-09, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
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Published by Chapman and Hall/CRC, 2020
ISBN 10: 1482237423 ISBN 13: 9781482237429
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Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Language: English
Published by Chapman and Hall/CRC, 2020
ISBN 10: 1482237423 ISBN 13: 9781482237429
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Condition: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1550grams, ISBN:9781482237429.
Language: English
Published by Chapman and Hall/CRC, 2020
ISBN 10: 1482237423 ISBN 13: 9781482237429
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Published by Taylor & Francis Group, 2020
ISBN 10: 1482237423 ISBN 13: 9781482237429
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Published by Taylor & Francis Group, 2020
ISBN 10: 1482237423 ISBN 13: 9781482237429
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
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Taschenbuch. Condition: Neu. Modelling Spatial and Spatial-Temporal Data | A Bayesian Approach | Robert P. Haining (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | Chapman and Hall/CRC | EAN 9781032175003 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Language: English
Published by Taylor & Francis Group, 2020
ISBN 10: 1482237423 ISBN 13: 9781482237429
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Published by Chapman and Hall/CRC, 2020
ISBN 10: 1482237423 ISBN 13: 9781482237429
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Published by Chapman and Hall/CRC, 2020
ISBN 10: 1482237423 ISBN 13: 9781482237429
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Published by Chapman and Hall/CRC, 2020
ISBN 10: 1482237423 ISBN 13: 9781482237429
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Published by Chapman and Hall/CRC, 2020
ISBN 10: 1482237423 ISBN 13: 9781482237429
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Hardcover. Condition: New. New. book.
Condition: New. Offers a practical introduction to regression modeling with spatial and spatial-temporal data relevant to research and teaching in the social and economic sciences Focuses on a few key datasets and data analysis using the open source softw.
Language: English
Published by Taylor & Francis Inc Feb 2020, 2020
ISBN 10: 1482237423 ISBN 13: 9781482237429
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Neuware - This book shows how to analyze spatial and spatial-temporal data. It focuses on key datasets and data analysis, using the open source software WinBUGS, R, and GeoDa. It examines a range of different spatial and spatial-temporal data modeling situations encountered in the social and economic sciences.
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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.
Language: English
Published by Chapman And Hall/CRC Sep 2021, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach is aimed at statisticians and quantitative social, economic and public health students and researchers who work with small-area spatial and spatial-temporal data. It assumes a grounding in statistical theory up to the standard linear regression model. The book compares both hierarchical and spatial econometric modelling, providing both a reference and a teaching text with exercises in each chapter. The book provides a fully Bayesian, self-contained, treatment of the underlying statistical theory, with chapters dedicated to substantive applications. The book includes WinBUGS code and R code and all datasets are available online.Part I covers fundamental issues arising when modelling spatial and spatial-temporal data. Part II focuses on modelling cross-sectional spatial data and begins by describing exploratory methods that help guide the modelling process. There are then two theoretical chapters on Bayesian models and a chapter of applications. Two chapters follow on spatial econometric modelling, one describing different models, the other substantive applications. Part III discusses modelling spatial-temporal data, first introducing models for time series data. Exploratory methods for detecting different types of space-time interaction are presented, followed by two chapters on the theory of space-time separable (without space-time interaction) and inseparable (with space-time interaction) models. An applications chapter includes: the evaluation of a policy intervention; analysing the temporal dynamics of crime hotspots; chronic disease surveillance; and testing for evidence of spatial spillovers in the spread of an infectious disease. A final chapter suggests some future directions and challenges. 642 pp. Englisch.
Language: English
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND.