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Estimation of the common mean from heterogeneous normal observations with unknown variances

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  • Andrew L. Rukhin

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  • Andrew L. Rukhin, 2017. "Estimation of the common mean from heterogeneous normal observations with unknown variances," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1601-1618, November.
    • Handle: RePEc:bla:jorssb:v:79:y:2017:i:5:p:1601-1618
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    File URL: http://hdl.handle.net/10.1111/rssb.12227
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    References listed on IDEAS

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    1. William E. Strawderman & Andrew L. Rukhin, 2010. "Simultaneous estimation and reduction of nonconformity in interlaboratory studies," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(2), pages 219-234, March.
    2. Yuedong Wang & Yanyuan Ma & Raymond J. Carroll, 2009. "Variance estimation in the analysis of microarray data," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(2), pages 425-445, April.
    3. Rukhin, Andrew L., 2007. "Conservative confidence intervals based on weighted means statistics," Statistics & Probability Letters, Elsevier, vol. 77(8), pages 853-861, April.
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    Cited by:

    1. Bodnar, Olha & Bodnar, Taras, 2021. "Objective Bayesian meta-analysis based on generalized multivariate random effects model," Working Papers 2021:5, Örebro University, School of Business.
    2. Ahad Malekzadeh & Mahmood Kharrati-Kopaei, 2018. "Inferences on the common mean of several normal populations under heteroscedasticity," Computational Statistics, Springer, vol. 33(3), pages 1367-1384, September.

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