Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach

(Part of the Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences Series)

by Guangquan Li, Robert P. Haining, Robert P. Haining

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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...

Format:Hardcover

Language:English

ISBN:1482237423

ISBN13:9781482237429

Release Date:February 2020

Publisher:CRC Press

Length:640 Pages

Weight:3.25 lbs.

Dimensions:1.4" x 6.9" x 10.1"

Related Subjects

Math Mathematics Reference Science & Math

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Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach

(Part of the Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences Series)

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