References

  1. Anderson, M.J. and Whitcomb, P.J. (2014). Practical aspects for designing statistically optimal experiments. Journal of Statistical Science and Application 2 (3): 85–92.
  2. Anderson, M.J. and Whitcomb, P.J. (2015). DOE Simplified: Practical Tools for Effective Experimentation. Boca Raton, FL: CRC Press.
  3. Arboretti Giancristofaro, R. and Salmaso, L. (2003). Model performance analysis and model validation in logistic regression. Statistica LXIII (2): 375–396.
  4. Box, G.E.P. and Woodall, W.H. (2012). Innovation, quality engineering, and statistics. Quality Engineering 24 (1): 20–29.
  5. Box, G.E.P., Hunter, J.S., and Hunter, W.G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery. Hoboken, NJ: Wiley.
  6. Cintas, P.G., Almagro, L.M., and Llabrés, X.T. (2012). Industrial Statistics with Minitab. Hoboken, NJ: Wiley.
  7. Draper, N.R. and Pukelsheim, F. (1996). An overview of design of experiments. Statistical Papers 37 (1): 1–32.
  8. Greenfield, T. and Metcalfe, A. (2007). Design and Analyse Your Experiment with Minitab. Hoboken, NJ: Wiley.
  9. Hoerl, R. and Snee, R. (2010). Statistical thinking and methods in quality improvement: a look to the future. Quality Engineering 22 (3): 119–129.
  10. Jensen, W., Anderson‐Cook, C.M., Costello, J.A., and Doganaksoy, N. (2012). Statistics to facilitate innovation: a panel discussion. Quality Engineering 24 (1): 2–19.
  11. Johnson, R.T., Montgomery, D.C., and Jones, B.A. (2011). An expository paper on optimal design. Quality Engineering 23 (3): 287–301.
  12. Kounias, S. and Salmaso, L. (1998). Orthogonal plans of resolution IV and V. Statistical Methods and Applications 7 (1): 57–75.
  13. Mathews, P.G. (2005). Design of Experiments with Minitab. Milwaukee, WI: ASQ Quality Press.
  14. Montgomery, D.C. (2008). Applications of design of experiments in engineering. Quality and Reliability Engineering International 24 (5): 501–502.
  15. Montgomery, D.C. (2017). Design and Analysis of Experiments, 9e. Hoboken, NJ: Wiley.
  16. Roberts, H.V. (1987). Data analysis for managers. The American Statistician 41 (4): 270–278.
  17. Ronchi, F., Salmaso, L., De Dominicis, M. et al. (2017). Optimal designs to develop and support an experimental strategy on innovation of thermoforming production process. Statistica 2: 77–109.
  18. Yandel, B.S. (1997). Practical Data Analysis for Designed Experiments. New York: Routledge.
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