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Modelling Spatial and Spatial-Temporal Data - A Bayesian Approach (Hardcover) Loot Price: R3,257
Discovery Miles 32 570
Repayment Terms: R305 pm x 12*
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Modelling Spatial and Spatial-Temporal Data - A Bayesian Approach (Hardcover): Guangquan Li, Robert P. Haining

Modelling Spatial and Spatial-Temporal Data - A Bayesian Approach (Hardcover)

Guangquan Li, Robert P. Haining

Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

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Loot Price R3,257 Discovery Miles 32 570 | Repayment Terms: R305 pm x 12*

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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 software WinBUGS, R, and GeoDa Provides data and programming codes to allow users to undertake their own analyses Ends each chapter with a set of short exercises and questions for further study

General

Imprint: Apple Academic Press Inc.
Country of origin: Canada
Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
Release date: February 2020
Authors: Guangquan Li • Robert P. Haining
Dimensions: 254 x 178 x 39mm (L x W x T)
Format: Hardcover
Pages: 640
ISBN-13: 978-1-4822-3742-9
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Social sciences > Psychology > Philosophy & theory of psychology > General
Books > Social sciences > Psychology > Psychological methodology > General
Books > Business & Economics > Economics > Econometrics > Economic statistics
LSN: 1-4822-3742-3
Barcode: 9781482237429

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