Optimal designs for successive comparisons between ordered treatments

Authors

  • Lee, Robert Edwin
  • Spurrier, John D.

Abstract

Lee and Spurrier [1] proposed a method for one-and two-sided comparison of means of adjacent ordered treatments in the one-way layout and typical normality assumptions while maintaining a designated overall Type I error rate. Optimal experimental design for these methods is investigated for three criteria. A-optimality minimizes the sum of the variances of the successive pairwise contrasts. MV-optimality minimizes the maximum variance of the successive pairwise contrasts. Simultaneous interval optimality minimizes the length of simultaneous confidence intervals for the successive pairwise contrasts. Tables of A-optimal designs with exact critical values are presented for r = 3(1)6 treatments. For even r, the MV-optimal design is equal sample sizes. For r = 3 the MV-optimal designs are very similar to A-optimal designs. A table of MV-optimal designs with exact critical values is presented for r = 5. Simultaneous interval optimal designs appear to be very similar to A-optimal designs.

Published

1999-05-09

How to Cite

Lee, Robert Edwin, & Spurrier, John D. (1999). Optimal designs for successive comparisons between ordered treatments. Utilitas Mathematica, 55. Retrieved from https://utilitasmathematica.com/index.php/Index/article/view/156

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