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Empirical Bayes estimators of the random intercept in multilevel analysis: Performance of the classical, Morris and Rao version

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  • Candel, Math J.J.M.

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  • Candel, Math J.J.M., 2007. "Empirical Bayes estimators of the random intercept in multilevel analysis: Performance of the classical, Morris and Rao version," Computational Statistics & Data Analysis, Elsevier, vol. 51(6), pages 3027-3040, March.
    • Handle: RePEc:eee:csdana:v:51:y:2007:i:6:p:3027-3040
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    References listed on IDEAS

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    1. Cora J. M. Maas & Joop J. Hox, 2004. "Robustness issues in multilevel regression analysis," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 58(2), pages 127-137, May.
    2. Tom Snijders, 1996. "Analysis of longitudinal data using the hierarchical linear model," Quality & Quantity: International Journal of Methodology, Springer, vol. 30(4), pages 405-426, November.
    3. Maas, Cora J. M. & Hox, J.J.Joop J., 2004. "The influence of violations of assumptions on multilevel parameter estimates and their standard errors," Computational Statistics & Data Analysis, Elsevier, vol. 46(3), pages 427-440, June.
    4. Math J. J. M. Candel, 2004. "Performance of empirical Bayes estimators of random coefficients in multilevel analysis: Some results for the random intercept‐only model," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 58(2), pages 197-219, May.
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    Cited by:

    1. Anders Skrondal & Sophia Rabe‐Hesketh, 2009. "Prediction in multilevel generalized linear models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(3), pages 659-687, June.
    2. Streftaris, George & Worton, Bruce J., 2008. "Efficient and accurate approximate Bayesian inference with an application to insurance data," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2604-2622, January.

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