Brunsdon, Chris (2001) A Bayesian Approach to Schools' Catchment-based Performance Modelling. Geographical and Environmental Modelling, 5 (1). pp. 9-22. ISSN 1361-5939

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Abstract

A Bayesian model for predicting schools' performance in SATs is proposed, in which geographical explanatory variables are averaged over a radius centred on each school. The coefficients for the explanatory variables, and the averaging (or smoothing) radius are treated as unknown variables, whose prior and posterior distributions will be considered in the Bayesian analysis. Posterior distributions cannot be determined analytically, and will be investigated using simulation via Gibbs sampling.

Item Type:	Article
Keywords:	Bayesian Approach; Schools' Catchment; Performance Modelling;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
Item ID:	6171
Identification Number:	https://doi.org/10.1080/13615930120032590
Depositing User:	Prof. Chris Brunsdon
Date Deposited:	09 Jun 2015 10:44
Journal or Publication Title:	Geographical and Environmental Modelling
Publisher:	Taylor & Francis
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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