Screening properties of certain two-level designs

Dennis K.J. Lin, Norman R. Draper

Research output: Contribution to journalArticle

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Abstract

Two-level screening designs are appropriate for situations where a large number of factors (q) is examined but relatively few (k) of these are expected to be important. It is not known which of the q factors will be the important ones, that is, it is not known which k dimensions of the experimental space will be of further interest. After the results of the design have received a first analysis, the design will be projected into the k dimensions of interest. These projections are investigated for Plackett and Burman type-screening designs with q≤23 factors, and k=3, 4, and 5.

Original languageEnglish (US)
Pages (from-to)99-118
Number of pages20
JournalMetrika
Volume42
Issue number1
DOIs
Publication statusPublished - Dec 1 1995

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All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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