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A note on multiple comparison procedures for detecting differences in simply ordered means

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  • Nashimoto, Kane
  • Wright, F.T.

Abstract

In the one-way ANOVA, we consider procedures that determine whether [mu]i=[mu]j or [mu]i

Suggested Citation

  • Nashimoto, Kane & Wright, F.T., 2005. "A note on multiple comparison procedures for detecting differences in simply ordered means," Statistics & Probability Letters, Elsevier, vol. 73(4), pages 393-401, July.
    • Handle: RePEc:eee:stapro:v:73:y:2005:i:4:p:393-401
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    References listed on IDEAS

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    1. Nashimoto, Kane & Wright, F.T., 2005. "Multiple comparison procedures for detecting differences in simply ordered means," Computational Statistics & Data Analysis, Elsevier, vol. 48(2), pages 291-306, February.
    2. Hayter, A. J. & Liu, W., 1996. "Exact calculations for the one-sided studentized range test for testing against a simple ordered alternative," Computational Statistics & Data Analysis, Elsevier, vol. 22(1), pages 17-25, June.
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    Cited by:

    1. Oh, Man-Suk & Shin, Dong Wan, 2011. "A unified Bayesian inference on treatment means with order constraints," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 924-934, January.
    2. Junfeng Shang & Joseph E. Cavanaugh & Farroll T. Wright, 2008. "A Bayesian Multiple Comparison Procedure for Order‐Restricted Mixed Models," International Statistical Review, International Statistical Institute, vol. 76(2), pages 268-284, August.
    3. Wright, F.T. & Nashimoto, Kane, 2011. "One-sided multiple comparisons for treatment means with a control mean," Computational Statistics & Data Analysis, Elsevier, vol. 55(4), pages 1530-1539, April.
    4. Nashimoto, Kane & Wright, F.T., 2008. "Bayesian multiple comparisons of simply ordered means using priors with a point mass," Computational Statistics & Data Analysis, Elsevier, vol. 52(12), pages 5143-5153, August.
    5. Nashimoto, Kane & Wright, F.T., 2007. "Nonparametric multiple-comparison methods for simply ordered medians," Computational Statistics & Data Analysis, Elsevier, vol. 51(10), pages 5068-5076, June.

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