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EMS Rules for Balanced Factorial Designs under No Restriction on Interaction

  • Choi Byoung-Chul (division of Mathematics and Statistical Informatics, Chonbuk National University)
  • Published : 2005.04.01

Abstract

Expected mean square(EMS) is an important part of conducting the analysis of variance in the experimental design problem, especially in mixed or random models. We present a set of EMS rules for balanced factorial designs under no restriction on interaction. Also we point out how to use the variance component of SPSS or SAS procedure to obtain EMS.

Keywords

References

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