The impact of unidentified location effects on dispersion-effects identification from unreplicated factorial designs

Technometrics

Volumn 41, Issue 4, 1999, Pages 313-326

  Pan, Guohua ^a  

^a OAKLAND UNIVERSITY   (United States)

Author keywords

Design of experiments; Quality improvement; Robust design engineering; Twolevel fractional factorial designs; Variance components

Indexed keywords

DATA REDUCTION; NUMERICAL ANALYSIS; PRODUCT DESIGN; QUALITY CONTROL; WELDING;

DESIGN OF EXPERIMENTS; DISPERSION EFFECTS; FRACTIONAL FACTORIAL DESIGNS;

STATISTICAL METHODS;

EID: 0033276917     PISSN: 00401706     EISSN: 15372723     Source Type: Journal    
DOI: 10.1080/00401706.1999.10485931     Document Type: Article

References (23)

1. k-p Series,” Technometrics, 39, 191-198.
2. Blomkvist, O., Hynen, A., and Bergman, B. (1997), “A Method to Identify Dispersion Effects From Unreplicated Multilevel Experiments,” Quality and Reliability Engineering International, 13, 127-138.
3. Box, G. E. P., and Meyer, R. D. (1986), “Dispersion Effects From Fractional Designs,” Technometrics, 28, 19-27.
4. Davidian, M., and Carroll, R. J. (1989), “Variance Function Estimation,” Journal of the American Statistical Association, 82, 1079-1091.
5. Engel, J., and Huele, A. F. (1996), “A Generalized Linear Modeling Approach to Robust Design,” Technometrics, 38, 365-373.
6. Ferrer, A. J., and Romero, R. (1993), “Small Samples Estimation of Dispersion Effects From Unreplicated Data,” Communications in Statistics— Simulation and Computation, 22, 975-995.
7. Ferrer, A. J., and Romero, R. (1995), “A Simple Method to Study Dispersion Effects From Nonnecessary Replicated Data in Industrial Contexts,” Quality Engineering, 7, 747-755.
8. Fuller, H. T., and Bisgaard, S. (1995), “A Comparison of Dispersion Effect Identification Methods for Unreplicated Two-Level Factorials,” Report 132, University of Wisconsin-Madison, Center for Quality and Productivity Improvement.
9. Hall, P., and Carroll, R. J. (1989), “Variance Function Estimation in Regression: The Effect of Estimating the Mean,” Journal of the Royal Statistical Society, Ser. B, 51, 3-14.
10. Hamada, M., and Balakrishnan, N. (1998), “Analyzing Unreplicated Factorial Experiments: A Review With Some New Proposals,” Statistica Sinica, 8, 1-41.
11. Lee, Y., and Nelder, J. A. (1998), “Generalized Linear Models for the Analysis of Quality-Improvement Experiments,” The Canadian Journal of Statistics, 26, 95-105.
12. Lenth, R. V. (1989), “Quick and Easy Analysis of Unreplicated Factorials,” Technometrics, 31, 469-473.
13. Loughin, T. M. (1998), “Calibration of the Length Test for Unreplicated Factorial Designs,” Journal of Quality Technology, 30, 171-175.
14. McCullagh, P., and Nelder, J. A. (1989), Generalized Linear Models, London: Chapman and Hall.
15. Nair, V. N., and Pregibon, D. (1988), “Analyzing Dispersion Effects From Replicated Factorial Experiments,” Technometrics, 30, 247-257.
16. Nelder, J. A., and Lee, Y. (1991), “Generalized Linear Models for the Analysis of Taguchi-Type Experiments,” Applied Stochastic Models and Data Analysis, 7, 107-120.
17. Nelder, J. A., and Lee, Y. (1998), “Joint Modeling of Mean and Dispersion,” in “Letters to the Editor,” with responses from B. Bergman and A. Hynen and from A. F. Huele and J. Engel, Technometrics, 40, 168-175.
18. Pregibon, D. (1984), “Generalized Linear Models,” The Annals of Statistics, 12, 1589-1596.
19. Taguchi, G. (1986), Introduction to Quality Engineering-Designing Quality Into Products and Processes, Tokyo: Asian Productivity Organization.
20. Taguchi, G., and Wu, Y. (1980), Introduction to Off-Line Quality Control, Nagoya, Japan: Central Japan Quality Control Association.
21. Wang, P. C. (1989), “Tests for Dispersion Effects From Orthogonal Arrays,” Computational Statistics and Data Analysis, 8, 109-117.
22. Wiklander, K. (1998), “A Comparison of Two Estimators of Dispersion Effects,” Communications in Statistics—Theory and Methods, 27, 905-923.
23. Wolfinger, R. D., and Tobias, R. D. (1998), “Joint Estimation of Location, Dispersion, and Random Effects in Robust Design,” Technometrics, 40, 62-71.