Variance dispersion graphs for comparing blocked response surface designs

Luzia A. Trinca*, Steven G. Gilmour

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)

Abstract

In this paper, we extend the use of the variance dispersion graph (VDG) to experiments in which the response surface (RS) design must be blocked. Through several examples we evaluate the prediction performances of RS designs in non-orthogonal block designs compared with the equivalent unblocked designs and orthogonally blocked designs. These examples illustrate that good prediction performance of designs in small blocks can be expected in practice. Most importantly, we show that the allocation of the treatment set to blocks can seriously affect the prediction properties of designs; thus, much care is needed in performing this allocation.

Original languageEnglish
Pages (from-to)314-327
Number of pages14
JournalJOURNAL OF QUALITY TECHNOLOGY
Volume30
Issue number4
Publication statusPublished - Oct 1998

Keywords

  • Blocking
  • Box-Behnken Designs
  • Central Composite Designs
  • D-Optimality
  • Prediction

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