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A Bayesian Approach to Estimation of GPAs of University of Iowa Freshmen Under Order Restrictions

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  • James H. Albert

Abstract

The problem of interest is to estimate a two-way table of means of grade point averages (GPAs) of University of Iowa freshmen grouped by levels of ACT scores and high school percentiles. Suppose one believes a priori that the table means satisfy a specific partial order. The use of two different classes of prior distributions is considered in modeling this prior information. The use of simulation and, in particular, the Gibbs sampler are outlined to summarize various posterior distributions of interest. The posterior distribution is used to predict the grade point averages of future Iowa freshmen.

Suggested Citation

  • James H. Albert, 1994. "A Bayesian Approach to Estimation of GPAs of University of Iowa Freshmen Under Order Restrictions," Journal of Educational and Behavioral Statistics, , vol. 19(1), pages 1-21, March.
    • Handle: RePEc:sae:jedbes:v:19:y:1994:i:1:p:1-21
    DOI: 10.3102/10769986019001001
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    Cited by:

    1. David B. Dunson & Brian Neelon, 2003. "Bayesian Inference on Order-Constrained Parameters in Generalized Linear Models," Biometrics, The International Biometric Society, vol. 59(2), pages 286-295, June.
    2. Chris Hans & David B. Dunson, 2005. "Bayesian Inferences on Umbrella Orderings," Biometrics, The International Biometric Society, vol. 61(4), pages 1018-1026, December.

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