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Uncertainty in Designed Experiments

Summary: [This abstract is based on the author’s abstract.] Although statistical experiment design can help select runs to achieve a given experimental purpose, uncertainty is to be expected. Faced with uncertainty in inputs and outputs from variability in measurement processes, as well as in the model structure of the subject under investigation, the experimenter must try to collect and analyze data that will address matters of scientific interest.

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  • Topics: Design of Experiments
  • Keywords: Design of experiments (DOE), Propagation of errors, Shifts and drifts in tolerances, Uncertainty, Random variables
  • Author: Wendelberger, Joanne R.
  • Journal: Quality Engineering