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On simultaneous confidence intervals for all contrasts in the means of the intraclass correlation model with missing data

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  • Seo, Takashi
  • Kikuchi, Jun
  • Koizumi, Kazuyuki
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    Abstract

    In this paper, we consider simultaneous confidence intervals for all contrasts in the means when the observations are missing at random in the intraclass correlation model. An exact test statistic for the equality of the means and Scheffe, Bonferroni and Tukey types of simultaneous confidence intervals are given by an extension of Bhargava and Srivastava [On Tukey's confidence intervals for the contrasts in the means of the intraclass correlation model, J. Royal Statist. Soc. B35 (1973) 147-152] when the missing observations are of the monotone type. Finally, numerical results of simultaneous confidence intervals are presented.

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    Bibliographic Info

    Article provided by Elsevier in its journal Journal of Multivariate Analysis.

    Volume (Year): 97 (2006)
    Issue (Month): 9 (October)
    Pages: 1976-1983

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    Handle: RePEc:eee:jmvana:v:97:y:2006:i:9:p:1976-1983

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    Related research

    Keywords: Intraclass correlation model Contrast Scheffe's simultaneous confidence intervals Bonferroni's inequality Tukey's simultaneous confidence intervals Monte Carlo simulation;

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    Cited by:
    1. Gai├čer, Sandra & Schmid, Friedrich, 2010. "On testing equality of pairwise rank correlations in a multivariate random vector," Journal of Multivariate Analysis, Elsevier, vol. 101(10), pages 2598-2615, November.

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