Multiple Comparisons With the Best in the Analysis of Covariance

  • Lee, Young-Hoon (Department of Statistics, Kangnung National University, Kangnung 210-702)
  • Published : 1994.06.01

Abstract

When a comparison is made with respect to the unknown best treatment, Hsu (1984, 1985) proposed the so called multiple comparisons procedures with the best in the analysis of variance model. Applying Hsu's results to the analysis of covariance model, simultaneous confidence intervals for multiple comparisons with the best in a balanced one-way layout with a random covariate are developed and are applied to a real data example.

Keywords

References

  1. Journal of the American Statistical Association v.75 Multiple Comparison Procedures in the ANCOVA Bryant,J.L.;Bruvold,N.T.
  2. Biometrika v.63 An Extension of Tukey’s Method of Multiple Comparisons to Experimental Designs with Random Concomitant Variables Bryant,J.L.;Paulson,A.S.
  3. The Annals of Statistics v.12 Constrained Simultaneous Confidence Intervals for Multiple Comparisons with the Best Hsu,J.C.
  4. Communications in Statistics v.A14 A Method of Unconstrained Multiple Comparisons with the Best Hsu,J.C.
  5. Biometrics v.13 Extension of Multiple Range Tests to Group Correlated A djusted Means kramer,C.Y.
  6. Linear Statistical Inference and Its Applications Rao,C.R.
  7. Biometrics v.61 A Multiple Range Test for Analysis of Covariance Thigpen,C.C.;Paulson,A.S.
  8. The Problem of Multiple Comparision Tukey,J.W.
  9. Analysis of Covariance Wildt,A.R.;Ahtola,O.T.