DOE References: Difference between revisions

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{{Template:DOEBOOK_SUB|Appendix H|DOE References}}
{{Template:DOEBOOK_SUB|Appendix H|DOE References}}


#AIAG., Measurement Systems Analysis (MSA), Automotive Industry Action Group, 4th edition (2010).
#Box, G. E. P., and Behnken, D. W., Some New Three Level Designs for the Study of Quantitative Variables, Technometrics, Vol. 2, No. 4, pp. 455-475, 1960.
#Box, G. E. P., and Behnken, D. W., Some New Three Level Designs for the Study of Quantitative Variables, Technometrics, Vol. 2, No. 4, pp. 455-475, 1960.
#Box, G. E. P., and Draper, N. R., Empirical Model Building and Response Surfaces, John Wiley & Sons, Inc., New York, 1987.
#Box, G. E. P., and Draper, N. R., Empirical Model Building and Response Surfaces, John Wiley & Sons, Inc., New York, 1987.
Line 10: Line 11:
#Hamada, M., and Balakrishnan N., Analyzing Unreplicated Factorial Experiments: A Review with Some New Proposals, Statistica Sinica, Vol. 8, pp. 1-41, 1998.
#Hamada, M., and Balakrishnan N., Analyzing Unreplicated Factorial Experiments: A Review with Some New Proposals, Statistica Sinica, Vol. 8, pp. 1-41, 1998.
#Khuri, A. I., and Cornell, J. A., Response Surfaces: Designs and Analyses, Dekker, New York, 1996.
#Khuri, A. I., and Cornell, J. A., Response Surfaces: Designs and Analyses, Dekker, New York, 1996.
#Kutner, Micheal H., Nachtsheim, Christopher J., Neter, John, and Li, William, Applied Linear Statistical Models, #McGraw-Hill/Irwin, New York, 2005.
#Kutner, Micheal H., Nachtsheim, Christopher J., Neter, John, and Li, William, Applied Linear Statistical Models, McGraw-Hill/Irwin, New York, 2005.
#Lenth, R. V., Quick and Easy Analysis of Unreplicated Factorials, Technometrics, Vol. 31, pp. 469-473, 1989.
#Lenth, R. V., Quick and Easy Analysis of Unreplicated Factorials, Technometrics, Vol. 31, pp. 469-473, 1989.
#Meeker, William Q., and Escobar, Luis A., Statistical Methods for Reliability Data, John Wiley & Sons, Inc., New York, 1998.
#Meeker, William Q., and Escobar, Luis A., Statistical Methods for Reliability Data, John Wiley & Sons, Inc., New York, 1998.
Line 16: Line 17:
#Montgomery, Douglas C., and Peck, E. A., Introduction to Linear Regression Analysis, John Wiley & Sons, Inc., New York, 1992.
#Montgomery, Douglas C., and Peck, E. A., Introduction to Linear Regression Analysis, John Wiley & Sons, Inc., New York, 1992.
#Montgomery, Douglas C., and Runger, George C., Applied Statistics and Probability for Engineers, John Wiley & Sons, Inc., New York, 1991.
#Montgomery, Douglas C., and Runger, George C., Applied Statistics and Probability for Engineers, John Wiley & Sons, Inc., New York, 1991.
#Montgomery, Douglas C., and Runger, George C., Gauge capability analysis and designed experiments. Part I: Basic methods. Quality Engineering, 6, 1, 115-135.
#Montgomery, Douglas C., and Runger, George C., Gauge capability analysis and designed experiments. Part II: Experimental design models and variance component estimation, 6, 2, 289-305.
#Myers, R. H., and Montgomery, D. C., Response Surface Methodology: Process and Product Optimization Using Designed Experiments, John Wiley & Sons, Inc., New York, 1995.
#Myers, R. H., and Montgomery, D. C., Response Surface Methodology: Process and Product Optimization Using Designed Experiments, John Wiley & Sons, Inc., New York, 1995.
#Plackett, R. L., and Burman, J. P., The Design of Optimum Multifactorial Experiments, Biometrika, Vol. 33, No. 4, pp. 305-325, 1946.
#Plackett, R. L., and Burman, J. P., The Design of Optimum Multifactorial Experiments, Biometrika, Vol. 33, No. 4, pp. 305-325, 1946.

Revision as of 17:29, 3 September 2013

Template:DOEBOOK SUB

  1. AIAG., Measurement Systems Analysis (MSA), Automotive Industry Action Group, 4th edition (2010).
  2. Box, G. E. P., and Behnken, D. W., Some New Three Level Designs for the Study of Quantitative Variables, Technometrics, Vol. 2, No. 4, pp. 455-475, 1960.
  3. Box, G. E. P., and Draper, N. R., Empirical Model Building and Response Surfaces, John Wiley & Sons, Inc., New York, 1987.
  4. Box, G. E. P., Hunter, W. G., and Hunter, J. S., Statistics for Experimenters, John Wiley & Sons, Inc., New York, 1978.
  5. Derringer, G., and Suich, R., Simultaneous Optimization of Several Response Variables, Journal of Quality Technology, Vol. 12, pp. 214-219, 1980.
  6. Draper, N., and Smith H., Applied Regression Analysis, John Wiley & Sons, Inc., New York, 1998.
  7. Fisher, R. A., The Design of Experiments, Hafner Publishing Company, New York, 1966.
  8. Fries, A., and Hunter, W. G., Minimum Aberration 2k-p Designs, Technometrics, Vol. 22, pp. 601-608, 1980.
  9. Hamada, M., and Balakrishnan N., Analyzing Unreplicated Factorial Experiments: A Review with Some New Proposals, Statistica Sinica, Vol. 8, pp. 1-41, 1998.
  10. Khuri, A. I., and Cornell, J. A., Response Surfaces: Designs and Analyses, Dekker, New York, 1996.
  11. Kutner, Micheal H., Nachtsheim, Christopher J., Neter, John, and Li, William, Applied Linear Statistical Models, McGraw-Hill/Irwin, New York, 2005.
  12. Lenth, R. V., Quick and Easy Analysis of Unreplicated Factorials, Technometrics, Vol. 31, pp. 469-473, 1989.
  13. Meeker, William Q., and Escobar, Luis A., Statistical Methods for Reliability Data, John Wiley & Sons, Inc., New York, 1998.
  14. Montgomery, Douglas C., Design and Analysis of Experiments, John Wiley & Sons, Inc., New York, 2001.
  15. Montgomery, Douglas C., and Peck, E. A., Introduction to Linear Regression Analysis, John Wiley & Sons, Inc., New York, 1992.
  16. Montgomery, Douglas C., and Runger, George C., Applied Statistics and Probability for Engineers, John Wiley & Sons, Inc., New York, 1991.
  17. Montgomery, Douglas C., and Runger, George C., Gauge capability analysis and designed experiments. Part I: Basic methods. Quality Engineering, 6, 1, 115-135.
  18. Montgomery, Douglas C., and Runger, George C., Gauge capability analysis and designed experiments. Part II: Experimental design models and variance component estimation, 6, 2, 289-305.
  19. Myers, R. H., and Montgomery, D. C., Response Surface Methodology: Process and Product Optimization Using Designed Experiments, John Wiley & Sons, Inc., New York, 1995.
  20. Plackett, R. L., and Burman, J. P., The Design of Optimum Multifactorial Experiments, Biometrika, Vol. 33, No. 4, pp. 305-325, 1946.
  21. ReliaSoft Corporation, Accelerated Life Testing Reference, ReliaSoft Publishing, Tucson, AZ, 2007.
  22. ReliaSoft Corporation, Life Data Analysis Reference, ReliaSoft Publishing, Tucson, AZ, 2005.
  23. Ross, S., Introduction to Probability and Statistics for Engineers and Scientists, John Wiley & Sons, Inc., New York, 1987.
  24. Sahai, Hardeo, and Ageel, Mohammed I., The Analysis of Variance, Birkhauser, Boston, 2000.
  25. Searle, S. R., Linear Models, John Wiley & Sons, Inc., New York, 1997.
  26. Searle, S. R., Topics in Variance Component Estimation, Biometrics, Vol. 27, No. 1, pp. 1-76, 1971.
  27. Taguchi, G., Introduction to Quality Engineering, Asian Productivity Organization, UNIPUB, White Plains, New York, 1991.
  28. Taguchi, G., System of Experimental Design, UNIPUB/Kraus International, White Plains, New York, 1987.
  29. Taguchi, Genichi, Chowdhury, Subir, and Wu, Yuin, Taguchi's Quality Engineering Handbook, John Wiley & Sons, Inc., #Hoboken, New Jersey, 2005.
  30. Tukey, J. W., Quick and Dirty Methods in Statistics, Part II, Simple Analysis for Standard Designs, Proceedings of the Fifth Annual Convention, American Society for Quality Control, pp. 189-197, 1951.
  31. Wu, C. F. Jeff, and Hamada, Michael, Experiments: Planning, Analysis and Parameter Design Optimization, John Wiley & Sons, Inc., New York, 2000.
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