ePrints

A Bayesian approach to schools' catchment-based performance modelling

Lookup NU author(s): Dr Christopher Brunsdon

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.

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.

Publication metadata

Author(s): Brunsdon C

Publication type: Article

Publication status: Published

Journal: Geographical and Environmental Modelling

Year: 2001

Volume: 5

Issue: 1

Pages: 9-22

Print publication date: 01/01/2001

ISSN (print): 1361-5939

ISSN (electronic):

Publisher: Carfax Publishing Ltd

Share