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Confidence intervals for variance component ratios in unbalanced linear mixed models

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  • Mahesh N. Fernando
  • Ronald W. Butler

Abstract

Methods for constructing confidence intervals for variance component ratios in general unbalanced mixed models are developed. The methods are based on inverting the distribution of the signed root of the log‐likelihood ratio statistic constructed from either the restricted maximum likelihood or the full likelihood. As this distribution is intractable, the inversion is rather based on using a saddlepoint approximation to its distribution. Apart from Wald's exact method, the resulting intervals are unrivalled in terms of achieving accuracy in overall coverage, underage, and overage. Issues related to the proper “reference set” with which to judge the coverage as well as issues connected to variance ratios being nonnegative with lower bound 0 are addressed. Applications include an unbalanced nested design and an unbalanced crossed design.

Suggested Citation

  • Mahesh N. Fernando & Ronald W. Butler, 2020. "Confidence intervals for variance component ratios in unbalanced linear mixed models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 47(3), pages 817-838, September.
  • Handle: RePEc:bla:scjsta:v:47:y:2020:i:3:p:817-838
    DOI: 10.1111/sjos.12428
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    References listed on IDEAS

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    1. Ole F. Christensen & Morten Frydenberg & Jens L. Jensen & Jørgen G. Pedersen, 2007. "Tests and Confidence Intervals for an Extended Variance Component Using the Modified Likelihood Ratio Statistic," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 34(2), pages 347-364, June.
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