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Estimating common mean and heterogeneity variance in two study case meta-analysis

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  • Rukhin, Andrew L.

Abstract

The relative behavior of estimators of the common mean and of the heterogeneity variance in the simple random effects model of meta-analysis is explored. A new risk function relating these estimation problems is introduced. Bayes estimators for each of the parameters are derived.

Suggested Citation

  • Rukhin, Andrew L., 2012. "Estimating common mean and heterogeneity variance in two study case meta-analysis," Statistics & Probability Letters, Elsevier, vol. 82(7), pages 1318-1325.
    • Handle: RePEc:eee:stapro:v:82:y:2012:i:7:p:1318-1325
    DOI: 10.1016/j.spl.2012.03.031
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    Cited by:

    1. Cao, Ming-Xiang & He, Dao-Jiang, 2017. "Admissibility of linear estimators of the common mean parameter in general linear models under a balanced loss function," Journal of Multivariate Analysis, Elsevier, vol. 153(C), pages 246-254.

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