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Robust parameter design

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References

Banks (2010) C. M. Banks, “Introduction to Modeling and Simulation”, in J. A. Sokolowski and C. M. Banks (Editors), Modeling and Simulation Fundamentals: Theoretical Underpinnings and Practical Domains, John Wiley and Sons, Hoboken NJ, 2010.

Bingham, D. and Sitter, R.R. (2003), Fractional Factorial Split-Plot Designs for Robust Parameter Experiments, Technometrics, 45 80-89.

Box, G.E.P., (1988), Signal-to-Noise Rations, Performance Criteria, and Transformations (with discussion), Technometrics, 30 1-40.

Box, G.E.P., Hunter, W.G., and Hunter, J.S. (1978), Statistics for Experimenters. Wiley.

Carraway, L. and Ingram, D. “Efficient Computational Algorithms for Searching for Optimal Nonregular Robust Parameter Designs,” manuscript in preparation.

Carraway, L. (2008). “Investigating the Use of Computational Algorithms for Constructing Non-Regular Robust Parameter Designs,” Masters Thesis, Arkansas State University.

Castillo, E. (2007), Process Optimization: A Statistical Approach. Springer.

Deng, L.Y. and Tang, B. (1999), Generalized Resolution and Minimum Aberration Criteria for Plackett-Burman and Other Non-regular Factorial Designs, Statisitca Sinica, 9 1071-1082.

Deng, L.Y. and Tang, B. (2002), Design Selection and Classification for Hadamard Matrices Using Generalized Minimum Aberration Criteria, Technometrics, 44 173-184.

Fontana, R. Pistone, G. and Rogantin, M.P. (2000), Classification of Two-Level Factorial Fractions, Journal of Statistical Planning and Inference, 87 149-172.

Ingram, D. (2000), The construction of generalized minimum aberration designs by efficient algorithm. Dissertation, University of Memphis.

Ingram, D. and Tang, B. (2001), Efficient Computational Algorithms for Searching for Good Designs According to the Generalized Minimum Aberration Criterion, American Journal of Mathematical and Management Sciences, 21 325-344.

Ingram, D. And Tang, B. (2005), Construction of minimum G-aberration Designs via Efficient Computational Algorithms, Journal of Quality Technology, 37 101-114.

Lawson, J. and Erjavec, J. (2001), Modern Statistics for Engineering and Quality Improvement. Duxbury.

Loeppky, J. (2004), Ranking Non-Regular Designs. Dissertation, Simon Fraser University.

Loeppky, J. L., Bingham, D. and Sitter R.R, (2006), Constructing Non-Regular Robust Parameter Designs, Journal of Statistical Planning and Inference, 136 3710-3729.

Montgomery, D. (2005), Design and Analysis of Experiments. 6th ed. Wiley.

Novosad, S. and Ingram, D. (2006), Optimal Non-regular Designs that Provide Alternative to the 16-Run and 32-Run Regular Fractional Factorial Designs. Arkansas State University, State University, AR.

Pistone, G. and Wynn, H.P. (1996), Generalized Confounding with Gröbner Bases, Biometrika, 83 653-666.

Taguchi, G. (1986), Introduction to Quality Engineering. New York: Quality Resources.

Tang, B. and Deng. L.Y. (1999), Minimum G2-aberration for Non-regular Fractional Factorial Designs, The Annals of Statistics, 27 1914-1926.

Wiley, A. and Ingram, D. (2007), Uncovering the Complex Aliasing Patterns of Some Non-regular Designs. Senior Honors Thesis, Arkansas State University, State University, AR.