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Estimation of the smallest normal variance with applications to variance components models

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  • Bobotas, Panayiotis
  • Kourouklis, Stavros

Abstract

It is proved that improved point and interval estimators for the smallest normal variance can be directly obtained from the unrestricted normal variance estimation counterparts. Applications to estimating the error variance in general random or mixed effects models are given.

Suggested Citation

  • Bobotas, Panayiotis & Kourouklis, Stavros, 2017. "Estimation of the smallest normal variance with applications to variance components models," Statistics & Probability Letters, Elsevier, vol. 131(C), pages 38-45.
  • Handle: RePEc:eee:stapro:v:131:y:2017:i:c:p:38-45
    DOI: 10.1016/j.spl.2017.08.005
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    References listed on IDEAS

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    1. Iliopoulos G. & Kourouklis S., 2000. "Interval Estimation For The Ratio Of Scale Parameters And For Ordered Scale Parameters," Statistics & Risk Modeling, De Gruyter, vol. 18(2), pages 169-184, February.
    2. Constantinos Petropoulos & Stavros Kourouklis, 2012. "New classes of improved confidence intervals for the variance of a normal distribution," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 75(4), pages 491-506, May.
    3. Nobuo Shinozaki, 1995. "Some modifications of improved estimators of a normal variance," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 47(2), pages 273-286, June.
    4. Mathew, Thomas & Sinha, Bimal Kumar & Sutradhar, Brajendra C., 1992. "Nonnegative estimation of variance components in unbalanced mixed models with two variance components," Journal of Multivariate Analysis, Elsevier, vol. 42(1), pages 77-101, July.
    5. Kubokawa, T., 1995. "Estimation of Variance Components in Mixed Linear Models," Journal of Multivariate Analysis, Elsevier, vol. 53(2), pages 210-236, May.
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