On Multiple Comparisons of Randomized Growth Curve Model

  • Shim, Kyu-Bark (Dept. of Statistics and Information Science at Dongguk University) ;
  • Cho, Tae-Kyoung (Dept. of Statistics and Information Science at Dongguk University)
  • Published : 2001.10.30

Abstract

A completely randomized growth curve model was defined by Zerbe(1979). We propose the fully significant difference procedure for multiple comparisons of completely randomized growth curve model. The standard F test is useful tool to multiple comparisons of the completely randomized growth curve model. The proposed method is applied to experimental data.

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