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Classical and Bayesian Prediction As Applied to an Unbalanced Mixed Linear Model

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  • Harville, David A.
  • Carriquiry, Alicia L.

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Suggested Citation

  • Harville, David A. & Carriquiry, Alicia L., 1992. "Classical and Bayesian Prediction As Applied to an Unbalanced Mixed Linear Model," Staff General Research Papers Archive 694, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genres:694
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    Cited by:

    1. Marinela Capanu & Colin B. Begg, 2011. "Hierarchical Modeling for Estimating Relative Risks of Rare Genetic Variants: Properties of the Pseudo-Likelihood Method," Biometrics, The International Biometric Society, vol. 67(2), pages 371-380, June.
    2. MacNab, Ying C. & Lin, Yi, 2009. "On empirical Bayes penalized quasi-likelihood inference in GLMMs and in Bayesian disease mapping and ecological modeling," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 2950-2967, June.
    3. L. Kurkalova & A. Carriquiry, 2003. "Input- and Output-Oriented Technical Efficiency of Ukrainian Collective Farms, 1989–1992: Bayesian Analysis of a Stochastic Production Frontier Model," Journal of Productivity Analysis, Springer, vol. 20(2), pages 191-211, September.

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