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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 37, 2005 - Issue 2
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Articles

A Dual-Response Approach to Robust Parameter Design for a Generalized Linear Model

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Pages 130-138 | Published online: 16 Feb 2018

References

  • Borkowski, J. J. and Lucas, J. M. (1997). “Designs of Mixed Resolution for Process Robustness Studies”. Technometrics 39, pp. 63–70.
  • Box, G. E. P. (1988). “Signal-to-Noise Ratios, Performance Criteria, and Transformations” (with discussion). Technometrics 30, pp. 1–40.
  • Del Castillo, E. and Montgomery, D. C. (1993). “A Nonlinear Programming Solution to the Dual Response Problem”. Journal of Quality Technology 25, pp. 199–204.
  • Engel, J. and Huele, A. F. (1996). “A Generalized Linear Modeling Approach to Robust Design”. Technometrics 38, pp. 365–373.
  • Hamada, M. and Nelder, J. A. (1997). “Generalized Linear Models for Quality-Improvement Experiments”. Journal of Quality Technology 29, pp. 292–304.
  • Koksoy, O. and Doganaksoy, N. (2003). “Joint Optimization of Mean and Standard Deviation Using Response Surface Methods”. Journal of Quality Technology 35, pp. 239–252.
  • Lee, Y. and Nelder, J. A. (1998). “Generalized Linear Models for the Analysis of Quality Improvement Experiments”. The Canadian Journal of Statistics 26, pp. 95–105.
  • Lee, Y. and Nelder, J. A. (2003). “Robust Design via Generalized Linear Models”. Journal of Quality Technology 35, pp. 2–12.
  • Lewis, S. L.; Montgomery, D. C.; and Myers, R. H. (2001). “Examples of Designed Experiments With Nonnormal Responses”. Journal of Quality Technology 33, 265–278.
  • Lin, D. K. J. and Tu, W. (1995). “Dual Response Surface Optimization”. Journal of Quality Technology 27, pp. 248–260.
  • Lucas, J. M. (1994). “How to Achieve a Robust Process Using Response Surface Methodology”. Journal of Quality Technology 26, 248–260.
  • McCullagh, P. and Nelder, J. A. (1989). Generalized Linear Models. Chapman and Hall, London.
  • Myers, R. H.; Khuri, A. I.; and Vining, G. G. (1992). “Response Surface Alternatives to the Taguchi Robust Parameter Design Approach”. The American Statistician 46, pp. 131–139.
  • Myers, R. H. and Montgomery, D. C. (1997). “A Tutorial on Generalized Linear Models”. Journal of Quality Technology 29, 274–291.
  • Myers, R. H. and Montgomery, D. C. (2002). Response Surface Methodology: Process and Product Optimization Using Designed Experiments. John Wiley, New York, NY.
  • Myers, R. H.; Montgomery, D. C.; and Vining, G. G. (2002). Generalized Linear Models with Applications in Engineering and the Sciences. John Wiley, New York, NY.
  • Nair, V. N., Ed. (1992). “Taguchi's Parameter Design: A Panel Discussion”. Technometrics 34, pp. 127–161.
  • Nelder, J. A. and Lee, Y. (1991). “Generalized Linear Models for the Analysis of Taguchi-Type Experiments”. Applied Stochastic Models and Data Analysis, 7, pp. 107–120.
  • Nelder, J. A. and Wedderburn, R. W. M. (1972). “Generalized Linear Models”. Journal of The Royal Statistical Society, Series A, General, 135, pp. 370–384.
  • Phadke, M. S. (1989). Quality Engineering Using Robust Design. Prentice-Hall, Englewood Cliffs, NJ.
  • Pledger, M. (1996). “Observable Uncontrollable Factors in Parameter Design”. Journal of Quality Technology 28, pp. 153–162.
  • Schmidt, S. R. and Launsby, R. G. (1990) Understanding Industrial Designed Experiments. Air Academy Press, Colorado Springs, CO.
  • Shoemaker, A. C.; Tsui, K. L.; and Wu, C. F. J. (1991). “Economical Experimentation Methods for Robust Design”. Technometrics 33, pp. 415–427.
  • Taguchi, G. (1986). Introduction to Quality Engineering. Asian Productivity Organization, UNIPUB, White Plains, NY.
  • Taguchi, G. and Wu, Y. (1980). Introduction to Off-Line Quality Control. Central Japan Quality Control Association, Nagoya, Japan.
  • Vining, G. G. and Myers, R. H. (1990). “Combining Taguchi and Response Surface Philosophies: A Dual Response Approach”. Journal of Quality Technology 22, pp. 38–45.
  • Welch, W. J.; Yu, T. K.; Kang, S. M.; and Sacks, J. (1990). “Computer Experiments for Quality Control by Parameter Design”. Journal of Quality Technology 22, pp. 15–22.
  • Wu, C. F. J. and Hamada, M. (2000). Experiments: Planning, Analysis, and Parameter Design Optimization. John Wiley, New York, NY.

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