Paging Dr Bob, Mike C, Stan, etc…DOE Questions

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This topic contains 1 reply, has 2 voices, and was last updated by  Chad Taylor 12 years, 3 months ago.

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    Are the following conclusions correct regarding blocking in a full or fractional factorial DOE?:

    Blocking nuetralizes the differences between the blocking factor in exchange for a confounding effect with the higher order interaction.
    Blocking provides the investigator with the luxury of exploring a stated noise variable (ie an adding an additional non-interactive pseudo-factor) without adding runs.
    A random blocked design is robust to an unstable process (RA Fisher).
    And how would you define the difference btw a blocking factor and a standard factor of interest?
    Thanks for the time everyone.


    Chad Taylor

    Yes blocking reduces known irrelevant variation which in turn increases the precision in the estimation.
    Yes, but does not have to be a noise variable, can be any variable of like or similar variation.
    Not sure if “Random” would make more robust, seems like a role of the dice.
    I would define a blocking factor as a group of standard factors with similar properties.

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