Skip to main content

A Bayesian Approach to Schools' Catchment-based Performance Modelling

Buy Article:

$47.50 plus tax (Refund Policy)

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.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Regular Paper

Publication date: 01 May 2001

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more