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On the use of compound noise factor in parameter design experiments

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  • X. Shirley Hou

Abstract

In some applications the cross‐array format for parameter design experiments is too costly to conduct. Instead of using a single array for both control and noise factors, Taguchi proposed a compound noise technique to reduce the size of experiments. It works by selecting a few ‘extreme’ conditions in noise factors and ‘compounding’ them into a single factor. Its performance is investigated through theoretical analysis, simulations, and real experiments. Copyright © 2002 John Wiley & Sons, Ltd.

Suggested Citation

  • X. Shirley Hou, 2002. "On the use of compound noise factor in parameter design experiments," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 18(3), pages 225-243, July.
  • Handle: RePEc:wly:apsmbi:v:18:y:2002:i:3:p:225-243
    DOI: 10.1002/asmb.475
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    Cited by:

    1. Shun Matsuura, 2014. "Effectiveness of a random compound noise strategy for robust parameter design," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(9), pages 1903-1918, September.

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