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      an investigator overcome operational obstacles in applying design of experiments.
      Admittedly, there are inherent risks associated with the judgments and assumptions
      made along the way; but as in investments in the financial world, the returns in the
      end tend to be proportional to the risks a person is willing or able to take in making
      his decisions. What is important, in both financial investment and industrial design
      of experiments, is a keen awareness of the possible risks involved, and an ability to
      balance such risks against potential returns. Again, in both cases, no textbook rules
      can replace insight and experience in the course of optimizing the final outcome.


                                    REFERENCES

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       2. Taguchi G. (1986) Introduction to Quality Engineering. Tokyo: Asian Productivity Organiza-
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       3. Goh T.N. (1993) Taguchi methods: some technical, cultural and pedagogical perspectives.
         Quality and Reliability Engineering International, 9, 185--202. See also Chapter 18, this volume.
       4. Cheng, C.S. and Li, C.C. (1993) Constructing orthogonal fractional factorial designs when
         some factor-level combinations are debarred. Technometrics, 35, 277--283.
       5. Booth, K.H.V. and Cox, D.R. (1962) Some systematic supersaturated designs. Technometrics,
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       6. Franklin, M.F. (1985) Selecting defining contrasts and confounded effects in pn-m factorial
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       7. Lin, D.K.J. (1993) A new class of supersaturated designs. Technometrics, 35, 28--31.
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       9. Box, G.E.P. (1993) Sequential experimentation and sequential assembly of designs. Quality
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      10. Box, G.E.P. and Meyer, R.D. (1986) An analysis of unreplicated fractional factorials. Techno-
         metrics, 28, 11--18.
      11. Goh T.N. (1996) Economical experimentation via ‘lean design’. Quality and Reliability Engi-
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      12. Goh T.N. (1997) Use of dummy values in analyzing incomplete experimental design data.
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