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Modelling Spatial and Spatial-temporal Data : A Bayesian Approach
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
Language: English
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Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
Language: English
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Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
Language: English
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Modelling Spatial and Spatial-temporal Data : A Bayesian Approach
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
Language: English
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Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
Language: English
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Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach
Published by Taylor & Francis Ltd, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
Language: English
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Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
Published by Chapman and Hall/CRC, 2020
ISBN 10: 1482237423 ISBN 13: 9781482237429
Language: English
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Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
Language: English
Condition: New. 1st edition NO-PA16APR2015-KAP.
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Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
Language: English
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Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach
Published by Chapman and Hall/CRC 2021-09, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
Language: English
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Modelling Spatial and Spatial-temporal Data : A Bayesian Approach
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
Language: English
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Modelling Spatial and Spatial-temporal Data : A Bayesian Approach
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
Language: English
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Regression Modelling wih Spatial and Spatial-Temporal Data
Published by Taylor & Francis Group, 2020
ISBN 10: 1482237423 ISBN 13: 9781482237429
Language: English
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Regression Modelling wih Spatial and Spatial-Temporal Data
Published by Taylor & Francis Group, 2020
ISBN 10: 1482237423 ISBN 13: 9781482237429
Language: English
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Regression Modelling wih Spatial and Spatial-Temporal Data
Published by Taylor & Francis Group, 2020
ISBN 10: 1482237423 ISBN 13: 9781482237429
Language: English
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Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
Published by Chapman and Hall/CRC, 2020
ISBN 10: 1482237423 ISBN 13: 9781482237429
Language: English
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Modelling Spatial and Spatial-Temporal Data
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Modelling Spatial and Spatial-Temporal Data
Published by Chapman And Hall/CRC Sep 2021, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
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 -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.
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Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
Language: English
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Modelling Spatial and Spatial-Temporal Data : A Bayesian Approach
Published by Chapman And Hall/CRC, 2021
ISBN 10: 1032175001 ISBN 13: 9781032175003
Language: English
US$ 84.95
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Robert Haining is Emeritus Professor in Human Geography, University of Cambridge, England. He is the author of Spatial Data Analysis in the Social and Environmental Sciences (1990) and Spatial Data Analysis: Theory and Practice.
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US$ 183.32
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.
