Incorporating noise factors into experiments with censored data

Technometrics

Volumn 42, Issue 4, 2000, Pages 376-383

  Kuhn, Andrew M ^a   Carter, Walter H ^b   Myers, Raymond H ^c  

^a BD Technologies   (United States)

^b VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

^c VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

Accelerated failure time distributions; Constrained optimization; Response surface methodology

Indexed keywords

CONSTRAINT THEORY; DATA PRIVACY; DATA STRUCTURES; FAILURE ANALYSIS; MATHEMATICAL MODELS; OPTIMIZATION;

ACCELERATED FAILURE-TIME DISTRIBUTIONS; CENSORED DATA;

SECURITY OF DATA;

EID: 0342854442     PISSN: 00401706     EISSN: 15372723     Source Type: Journal    
DOI: 10.1080/00401706.2000.10485710     Document Type: Article

References (23)

1. Box, G. E. P. (1988), “Signal-to-Noise Ratios, Performance Criteria, and Transformations,” Technometrics, 20, 1-17.
2. Condra, L. W. (1993), Reliability Improvement With Design of Experiments, New York: Marcel Dekker.
3. Copeland, K. A., and Nelson, P. R. (1996), “Dual Response Optimization via Direct Function Minimization,” Journal of Quality Technology, 28, 331-336.
4. Del Castillo, E., and Montgomery, D. C. (1993), “A Nonlinear Programming Solution to the Dual Response Problem,” Journal of Quality Technology, 25, 199-204.
5. Derringer, G., and Suich, R. (1980), “Simultaneous Optimization of Several Response Variables,” Journal of Quality Technology, 12, 214-219.
6. Engel, J., and Huele, A. F. (1996), “A Generalized Linear Modeling Approach to Robust Design,” Technometrics, 38, 365-373.
7. Gill, E. P., Murray, W., and Wright, M. H. (1981), Practical Optimization, London: Academic Press.
8. Glaser, R. E. (1984), “Estimation for a Weibull Accelerated Life Testing Model,” Naval Research Logistics Quarterly, 31, 559-570.
9. Hamada, M. (1995), “Using Statistically Designed Experiments to Improve Reliability and to Achieve Robust Reliability,” IEEE Transactions on Reliability, 44, 206-215.
10. Hamada, M., and Tse, S. K. (1992), “On Estimability Problems in Industrial Experiments With Censored Data,” Statistica S'mca, 2, 381-391.
11. Hamada, M., and Wu, C. F. J. (1991), “Analysis of Censored Data From Highly Fractionated Experiments,” Technometrics, 33, 25-38.
12. Kackar, R. (1985), “Off-Line Quality Control, Parameter Design, and the Taguchi Methods,” Journal of Quality Technology, 17, 176-188.
13. Kalbfleisch, J. D., and Prentice, R. L. (1980), The Statistical Analysis of Failure Time Data, New York: Wiley.
14. Lawless, J. F. (1982), Statistical Models and Methods for Lifetime Data, New York: Wiley.
15. 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, 131-139.
16. Myers, R. H., Kim, Y., and Griffiths, K. L. (1997), “Response Surface Methods and the Use of Noise Variables,” Journal of Quality Technology, 29, 429-440.
17. Myers, R. H., and Montgomery, C. M. (1995), Response Surfaces Methodology: Process and Product Optimization Using Designed Experiments, New York: Wiley.
18. Nair, V. N. (editor) (1992), “Taguchi’s Robust Parameter Design: A Panel Discussion,” Technometrics, 34, 127-161.
19. Nelson, W. (1990), Accelerated Testing: Statistical Models, Test Plans, and Data Analysis, New York: Wiley.
20. Phadke, M. S. (1986), “Design Optimization Case Studies,” AT&T Technical Journal, 65, 51-68.
21. Taguchi, G. (1987), System of Experimental Design, White Plains, NY: Unipub/Kraus.
22. Vining, G. G., and Myers, R. H. (1990), “Combining Taguchi and Response Surface Philosophies: A Dual Response Approach,” Journal of Quality Technology, 22, 15-22.
23. Wampler, G. L., Carter, W. H., Jr., and Campbell, E. D. (1987), “Combination of 5-Fluorouracil and Cyclophosphamide in L1210 and P388 Leukemias With Changes in Optimum Treatments as a Function of the Age of the L1210 Tumor at First Treatment,” Cancer Investigation, 5, 523-533.