Ch. 8. Quality improvement and robustness via design of experiments

Handbook of Statistics

Volumn 22, Issue , 2003, Pages 263-317

  Ankenman, Bruce E ^a   Dean, Angela M ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 67649637663     PISSN: 01697161     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S0169-7161(03)22010-1     Document Type: Review

References (255)

1. Abraham B., Chipman H., and Vijayan K. Some risks in the construction and analysis of supersaturated designs. Technometrics 41 (1999) 135-141
2. Addleman S., and Kempthorne O. Some main effect plans and orthogonal arrays of strength two. Ann. Math. Statist. 32 (1961) 1167-1176
3. Allen T.T. Supersaturated designs that maximize the probability of identifying active factors. Technometrics 45 (2003) 90-97
4. Ames A.E., Mattucci N., MacDonald S., Szonyi G., and Hawkins D.H. Qual. loss functions for optimization across multiple response surfaces. J. Quality Technology 29 (1997) 339-346
5. Anderson C.M., and Wu C.F.J. Dispersion measures and analysis for factorial directional data with replicates. Appl. Statist. 45 (1996) 47-61
6. Ankenman B.E. Design of experiments with two-level and four-level factors. J. Quality Technology 31 (1999) 363-375
7. to appear. Ankenman B.E., Aviles A.I., and Pinhiero J.C. Optimal designs for mixed-effects models. Statistica Sinica 13 (2003)
8. Ankenman B.E., Liu H., Karr A.F., and Picka J.D. A class of experimental designs for estimating a response surface and variance components. Technometrics 44 (2000) 45-54
9. Ankenman B., Bisgaard S., and Osswald T.A. Experimental optimization of computer models of manufacturing processes. Manufacturing Review 7 (1994) 332-345
10. Atkinson A.C., and Cook R.D. D-Optimum designs for heteroscedastic linear models. J. Amer. Statist. Assoc. 90 (1995) 204-212
11. Barton R.R. Graphical Methods for the Design of Experiments (1999), Springer-Verlag, New York
12. Bazaraa M.S., Sherali H.D., and Shetty C.M. Nonlinear Programming: Theory and Algorithms (1993), Wiley, New York
13. k-p series. Technometrics 39 (1997) 191-198
14. Bernando F.P., Efstratios N.P., and Saraiva P.M. Qual. costs and robustness criteria in chemical process design optimization. Computers and Chem. Eng. 25 (2001) 27-40
15. Bingham D., and Sitter R.R. Minimum-aberration two-level fractional factorial split-plot designs. Technometrics 41 (1999) 62-70
16. Bingham D., and Sitter R.R. Design issues in fractional factorial split-plot experiments. J. Quality Technology 33 (2001) 2-15
17. Bisgaard S. The early years of designed experiments in industry: case study references and some historical anecdotes. Qual. Eng. 4 (1992) 547-562
18. Bisgaard S., and Diamond N. An analysis of Taguchi's method of confirmatory trials. Technical Report 60 (1990), Center for Qual. and Productivity Improvement, University of Wisconsin, New York
19. Bisgaard S. Designing experiments for tolerancing assembled products. Technometrics 39 (1997) 142-152
20. q-r split plot experiments. J. Quality Technology 32 (2000) 39-56
21. k-p × s prototype experiments. Technometrics 39 (1997) 52-62
22. Blomkvist O., Hynén A., and Bergman B. A method to identify dispersion effects from unreplicated multilevel experiments. Qual. Reliab. Engng. Internat. 13 (1997) 127-138
23. Boos D.D., and Brownie C. Bootstrap methods for testing homogeneity of variances. Technometrics 31 (1989) 69-82
24. Booth K.H.V., and Cox D.R. Some systematic supersaturated designs. Technometrics 4 (1962) 489-495
25. Borkowski J.J., and Lucas J.M. Designs of mixed resolution for process robustness studies. Technometrics 39 (1997) 63-70
26. Bose R.C., and Bush K.A. Orthogonal arrays of strength 2 and 3. Ann. Math. Statist. 23 (1952) 508-524
27. Bose R.C. Mathematical theory of the symmetrical factorial design. Sankhyā 8 (1947) 107-166
28. Box G.E.P. Signal-to-noise ratios, performance criteria and transformations. Technometrics 30 (1988) 1-17
29. Reprinted in. Box G.E.P. Do interactions matter?. Qual. Eng. 2 (1990) 365-369
30. Reprinted in. Box G.E.P. Do interactions matter?. In: Tiao G.C., Bisgaard S., Hill W.J., Penã D., and Stigler S.M. (Eds). Box on Qual. and Discovery; with Design, Control and Robustness (2000), Wiley, New York
31. Box G.E.P. Discussion in Taguchi's parameter design: a panel discussion (Ed. V. Nair). Technometrics 34 (1992) 146
32. Box G.E.P., and Draper N.R. Emprical Model Building (1987), Wiley, New York
33. Box G.E.P., and Hunter J.S. Multifactor experimental designs for exploring response surfaces. Ann. Math. Statist. 28 (1957) 195-241
34. k-p fractional factorial designs. Technometrics 3 (1961) 311-352
35. Box G.E.P., and Jones S. Comment on: testing in industrial experiments with ordered categorical data. Technometrics 28 (1986) 295-301
36. Box G.E.P., and Jones S. Split-plot designs for robust product experimentation. J. Appl. Statist. 19 (1992) 3-26
37. (Correction, 1987, 29, 250.). Box G.E.P., and Meyer R.D. Dispersion effects from fractional designs. Technometrics 28 (1986) 19-27
38. Box G.E.P., and Tyssedal J. Projective properties of certain orthogonal arrays. Biometrika 83 (1996) 950-955
39. Box G.E.P., Bisgaard S., and Fung C.A. An explanation and critique of Taguchi's contributions to quality engineering. Qual. Reliab. Engng. Internat. 4 (1988) 123-131
40. Box G.E.P., Hunter W.G., and Hunter J.S. Statistics for Experimenters (1978), Wiley, New York
41. Brinkley P.A., Meyer K.P., and Lu J.C. Combined generalized linear modelling-non-linear programming approach to robust process design a case-study in circuit board quality improvement. Appl. Statist. 45 (1996) 99-110
42. Brinkley P.A., Meyer K.P., and Lu J.C. Letter to the editors. Appl. Statist. 46 (1997) 283-286
43. Bullington K.E., Hool J.N., and Maghsoodloo S. A simple method for obtaining resolution IV designs for use with Taguchi's orthogonal arrays. J. Quality Technology 22 (1990) 260-264
44. 2)-optimal supersaturated designs. J. Roy. Statist. Soc. B 63 (2001) 621-632
45. Carlyle W.M., Montgomery D.C., and Ruager G.C. Optimization problems and methods in quality control and improvement. J. Quality Technology 32 (2000) 1-31
46. Chan L.K., and Mak T.K. A regression approach for discovering small variation around a target. Appl. Statist. 44 (1995) 369-377
47. n-m designs. Ann. Statist. 27 (1999) 1948-1973
48. n-k fractional factorial designs with minimum aberration or optimal moments. Ann. Statist. 19 (1991) 1028-1041
49. Chen Y., Sun D.X., and Wu C.F.J. A catalogue of two-level and three-level fractional factorial designs with small runs. Internat. Statist. Review 61 (1993) 131-145
50. Cheng C.-S. Some orthogonal main-effect plans for asymmetrical factorials. Technometrics 31 (1989) 475-477
51. Cheng C.-S., and Mukerjee R. Regular fractional factorial designs with minimum aberration and maximum estimation capacity. Ann. Statist. 26 (1998) 2289-2300
52. Cheng C.-S., Steinberg D.M., and Sun D.X. Minimum aberration and model robustness for two-level fractional factorial designs. J. Roy. Statist. Soc. B 61 (1999) 85-94
53. Chipman H. Bayesian variable selection with related predictors. Canad. J. Statist. 24 (1996) 17-36
54. Chipman H. Handling uncertainty in analysis of robust design experiments. J. Quality Technology 30 (1998) 11-17
55. Christensen R., and Huzurbazar A.V. A note on augmenting resolution III designs. Amer. Statist. 50 (1996) 175-177
56. Copeland K.A., and Nelson P.R. Dual response optimization via direct function minimization. J. Quality Technology 28 (1996) 331-336
57. Cornell J.A. Experiments with Mixtures: Designs, Models, and the Analysis of Mixture Data. 2nd ed. (1990), Wiley, New York
58. Crosier R.B. Some new two-level saturated designs. J. Quality Technology 32 (2000) 103-110
59. Czitrom V., Mohammadi P., Flemming M., and Dyas B. Robust design experiment to reduce variance components. Qual. Eng. 10 (1998) 645-655
60. Daniel C. Applications of Statistics to Industrial Experimentation (1976), Wiley, New York
61. Davidian M., and Carroll R.J. Variance function estimation. J. Amer. Statist. Assoc. 82 (1987) 1079-1091
62. In: Davies O.L. (Ed). The Design and Analysis of Industrial Experiments. 2nd ed. (1956), Longman, New York
63. Dean A.M., and Lewis S.M. Comparison of group screening strategies for factorial experiments. Comput. Statist. Data Anal. 39 (2002) 287-297
64. Dean A.M., and Draper N.R. Saturated main-effect designs for factorial experiments. Statist. and Comput. 9 (1999) 179-185
65. Dean A.M., and Voss D.T. Design and Analysis of Experiments (1999), Springer-Verlag, London
66. Dehnad K. Quality Control, Robust Design, and the Taguchi Method (1989), Wadsworth, New York
67. Del Castillo E., and Montgomery D.C. A nonlinear programming solution to the dual response problem. J. Quality Technology 25 (1993) 199-204
68. Del Castillo E. Multiresponse process optimization via constrained confidence regions. J. Quality Technology 28 (1996) 61-70
69. Del Castillo E., Fan S., and Semple J. The computation of global optima in dual response systems. J. Quality Technology 29 (1997) 347-353
70. Del Castillo E., Montgomery D.C., and McCarville D.R. Modified desirability functions for multiple response optimization. J. Quality Technology 28 (1996) 337-345
71. Deng L.Y., and Tang B. Generalized resolution and minimum aberration criteria for Plackett-Burman and other nonregular factorial designs. Statistica Sinica 9 (1999) 1071-1082
72. D'Errico J.R., and Zaino Jr. N.A. Statistical tolerancing using a modification of Taguchi's method. Technometrics 30 (1988) 397-405
73. Dewey A., Ren H., and Zhang T. Behavioral modeling of microelectromechanical systems (MEMS) with statistical performance-variability reduction and sensitivity analysis. IEEE Trans. on Circuits and Systems-II: Analog and Digital Signal Process 47 (2000) 105-113
74. Dey A. Orthogonal Fractional Factorial Designs (1985), Halsted Press, California
75. Dey A., and Mukerjee R. Fractional Factorial Plans (1999), Wiley, New York
76. Diamond N.T. Some properties of a fold-over design. Austral. J. Statist. 37 (1995) 345-352
77. Dorfman R. The detection of defective members of large populations. Ann. Math. Statist. 14 (1943) 436-440
78. Elsayed E.A., and Chen A. Optimal levels of process parameters for products with multiple characteristics. Internat. J. Prod. Res. 31 (1993) 1117-1132
79. Engel J. Modelling variation in industrial experiments. Appl. Statist. 41 (1992) 579-593
80. Engel J., and Huele A.F. A generalized linear modeling approach to robust design. Technometrics 38 (1996) 365-373
81. Evans D.H. Statist. tolerancing: the state of the art: Part I, Background. J. Quality Technology 6 (1974) 188-195
82. Evans D.H. Statist. tolerancing: the state of the art: Part II, Methods for estimating moments. J. Quality Technology 7 (1975) 1-12
83. Fang Y., and Zhou B. Block-crossed arrays with applications to robust design. J. Statist. Plann. Inference 74 (1998) 169-175
84. Fearn T. Box-Cox transformations and the Taguchi method: an alternative analysis of a Taguchi case study. Appl. Statist. 41 (1992) 553-559
85. Ferrer A.J., and Romero R. Small sample estimation of dispersion effects from unreplicated data. Comm. Statist. B 22 (1993) 975-995
86. Fisher R.A. The theory of confounding in factorial experiments in relation to the theory of groups. Ann. Eugenics 11 (1942) 341-353
87. n-m factorial experiments. Technometrics 27 (1985) 165-172
88. Franklin M.F., and Bailey R.A. Selection of defining contrasts and confounded effects in two-level experiments. Appl. Statist. 26 (1977) 321-326
89. Freeny A.E., and Nair V.N. Robust parameter design with uncontrolled noise variables. Statistica Sinica 2 (1992) 313-334
90. k-p designs. Technometrics 22 (1980) 601-608
91. Fuller H.T., and Bisgaard S. A comparison of dispersion effect identification methods for unreplicated two-level factorials. Technical Report 132 (1995), Center for Qual. and Productivity Improvement, University of Wisconsin, New York
92. Ganju J., and Lucas J.M. Bias in test statistics when restrictions in randomization are caused by factors. Comm. Statist. A 26 (1997) 47-63
93. Chapter 13. Ghosh S. Sequential assembly of fractions in factorial experiments. In: Ghosh S., and Rao C.R. (Eds). Handbook of Statistics Vol. 13 (1996), Elsevier, Amsterdam 407-425
94. In: Ghosh S. (Ed). Statistics Design and Analysis of Industrial Experiments (1990), Marcel Dekker, Amsterdam
95. Ghosh S., and Derderian E. Robust experimental plan and its role in determining robust design against noise factors. The Statistician 42 (1993) 19-28
96. Ghosh S., and Lagergren E.S. Dispersion models and estimation of dispersion effects in replicated factorial experiments. J. Statist. Plann. Inference 29 (1990) 253-262
97. (Correction, 1978, 27, 78.). Greenfield A.A. Selection of defining contrasts in two-level experiments. Appl. Statist. 25 (1976) 64-67
98. Grego J.M. Generalized linear models and process variation. J. Quality Technology 25 (1993) 288-295
99. Gunter B. Discussion of "Signal-to-noise ratios, performance criteria and transformations", by G. E. P. Box. Technometrics 30 (1988) 32-35
100. Hamada M., and Nelder J.A. Generalized linear models for quality-improvement experiments. J. Quality Technology 29 (1997) 292-304
101. (discussion of Nair (1986)). Hamada M., and Wu C.F.J. Should accumulation analysis and related methods be used for industrial experiments?. Technometrics 28 (1986) 302-306
102. Hamada M., and Wu C.F.J. A critical look at accumulation analysis and related methods (with discussion). Technometrics 32 (1990) 119-162
103. Hedayat A.S. New properties of orthogonal arrays and their statistical applications. In: Ghosh S. (Ed). Statist. Design and Analysis of Industrial Experiments (1990), Marcel Dekker, New York 407-422
104. Hedayat A.S., and Pesotan H. Two-level factorial designs for main effects and selected two-factor interactions. Statistica Sinica 2 (1992) 453-464
105. Hedayat A.S., and Stufken J. Compound orthogonal arrays. Technometrics 41 (1999) 57-61
106. Hedayat A.S., Pu K., and Stufken J. On the construction of asymmetrical orthogonal arrays. Ann. Statist. 20 (1992) 2142-2152
107. Hedayat A.S., Sloane N.J.A., and Stufken J. Orthogonal Arrays: Theory and Application (1999), Springer-Verlag, New York
108. Huang P., Chen D., and Voelkel J.O. Minimum-aberration two-level split-plot designs. Technometrics 40 (1998) 314-326
109. Huele A.F., and Engel J. Letters to the Editor. Technometrics 40 (1998) 168-175
110. Hunter J.S. Statist, design applied to product design. J. Quality Technology 17 (1985) 210-221
111. Jacroux M. A note on the determination and construction of minimal orthogonal main-effect plans. Technometrics 34 (1992) 92-96
112. Kackar R.N. Off-line quality control, parameter design, and the Taguchi method. J. Quality Technology 17 (1985) 176-188
113. Chapter 4. Kackar R.N. Off-line quality control, parameter design, and the Taguchi method. In: Dehnad K. (Ed). Qual. Control, Robust Design, and the Taguchi Method (1989), Wadsworth, New York
114. Kackar R.N., and Tsui K.L. Interaction graphs: graphical aids for planning experiments. J. Quality Technology 22 (1990) 1-14
115. Kacker R.N., and Shoemaker A.C. Robust design: a cost effective method for improving manufacturing process. AT&T Technical J. 65 (1986) 39-50
116. Kalagnanam J.R., and Diwekar U.M. An efficient sampling technique for off-line quality control. Technometrics 39 (1997) 308-319
117. Khattree R. Robust parameter design: a response surface approach. J. Quality Technology 28 (1996) 187-198
118. Kim K., and Lin D.K. Dual response surface optimization: a fuzzy modeling approach. J. Quality Technology 30 (1998) 1-10
119. Kleijnen J.P.C. Review of random and group-screening designs. Comm. Statist. A 16 (1987) 2885-2900
120. Chapter 9. Koehler J.R., and Owen A.B. Computer experiments. In: Ghosh S., and Rao C.R. (Eds). Handbook of Statistics Vol. 13 (1996), Elsevier, California 261-308
121. Lamb R.H., Boos D.D., and Brownie C. Testing for effects on variance in experiments with factorial treatment structure and nested errors. Technometrics 38 (1996) 170-177
122. Lawson J.S., and Madrigal J.L. Robust design through optimization techniques. Qual. Eng. 6 (1994) 593-608
123. n-m-design. J. Roy. Statist. Soc. B 57 (1995) 191-204
124. Lee H.S. Estimates for mean and dispersion effects in unreplicated factorial designs. Comm. Statist. A 23 (1994) 3593-3608
125. Lee Y., and Nelder J.A. Generalized linear models for the analysis of quality-improvement experiments. Canad. J. Satist. 26 (1998) 95-105
126. Lenth R.V. Quick and easy analysis of unreplicated factorials. Technometrics 31 (1989) 469-473
127. León R.V., Shoemaker A.C., and Kacker R.N. Performance measures independent of adjustment: an explanation and extension of Taguchi's signal to noise ratio. Technometrics 29 (1987) 253-285
128. León R.V., and Wu C.F.J. A theory of performance measures in parameter design. Statistica Sinica 2 (1992) 335-358
129. Letsinger J.D., Myers R.H., and Lentner M. Response surface methods for bi-randomization structures. J. Quality Technology 28 (1996) 381-397
130. (with discussion). Lewis S.M., and Dean A.M. Detection of interactions in experiments on large numbers of factors. J. Roy. Statist. Soc. B 63 (2002) 633-672
131. Lewis S.M., Hodgson B.A., New R.E., and Sexton C.J. The application of Taguchi methods at the design analysis stage. Proceedings of the Institute of Mechanical Eng., Internat. Conference of Eng. Design 1 (1989) 283-294
132. Li W., and Nachtsheim C.J. Model-robust factorial designs. Technometrics 42 (2000) 345-352
133. Li W., and Wu C.F.J. Columnwise-pairwise algorithms with applications to the construction of supersaturated designs. Technometrics 39 (1997) 171-179
134. n-p fractional factorial designs for dispersion effects under a location-dispersion model. Comm. Statist. A 29 (2000) 823-835
135. k. Technometrics 38 (1996) 342-353
136. Lin D.K.J. A new class of supersaturated designs. Technometrics 35 (1993) 28-31
137. Lin D.K.J. Another look at first order saturated designs: the p-efficient designs. Technometrics 35 (1993) 284-292
138. Lin D.K.J. Generating systematic supersaturated designs. Technometrics 37 (1995) 213-225
139. (this Handbook). Lin D.K.J. Industrial experimentation for screening. In: Rao C.R., and Khattree R. (Eds). Handbook of Statistics Vol. 22 (2003), Elsevier, Amsterdam 33-73
140. Lin D.K.J., and Draper N.R. Projection properties of Plackett and Burman designs. Technometrics 34 (1992) 423-428
141. Lin D.K.J., and Tu W. Dual response surface optimization. J. Quality Technology 27 (1995) 34-39
142. Lin D., and Jones S. Split-plot designs for robust product experimentation. J. Appl. Statist. 19 (1992) 3-26
143. Submitted to Technometrics. Liu Y., and Dean A.M. k-circulant supersaturated designs (2001)
144. Logothetis N. Establishing a noise performance measure. The Statistician 38 (1989) 155-174
145. Logothetis N. Box-Cox transformations and the Taguchi method. Appl. Statist. 39 (1990) 31-48
146. Logothetis N., and Wynn H.P. Qual. Through Design. Experimental Design, Off-Line Qual. Control and Taguchi's Contributions (1989), Clarendon Press, Amsterdam
147. Lorenzen T. Taguchi's parameter design: a panel discussion (Ed. V. Nair). Technometrics 34 (1992) 138
148. Low T., Chen S., and Gao X. Robust torque optimization for BLDC spindle motors. IEEE Trans. on Industrial Electronics 48 (2001) 656-663
149. Lucas J.M. How to achieve a robust process using response surface methodology. J. Quality Technology 26 (1994) 248-260
150. Luenberger D.G. Linear and Nonlinear Programming. 2nd ed. (1989), Addison-Wesley/Longman Publishing, Oxford
151. Lumani V., Nair N., and Wasserman G.S. Graphical methods for robust design with dynamic characteristics. J. Quality Technology 29 (1997) 327-337
152. Matheron G. Principles of geostatistics. Economic Geology 58 (1963) 1246-1266
153. Mays D.P. Optimal central composite designs in the presence of dispersion effects. J. Quality Technology 31 (1999) 398-407
154. Mays D.P., and Easter S.M. Optimal response surface designs in the presence of dispersion effects. J. Quality Technology 29 (1997) 59-69
155. Mays D.P., and Myers R.H. Bayesian approach for the design and analysis of a two level factorial experiment in the presence of dispersion effects. Comm. Statist. A 25 (1996) 1409-1428
156. McCullagh P., and Nelder J.A. Generalized Linear Models. 2nd ed. (1989), Chapman and Hall, Reading, MA
157. McGrath R.N., and Lin D.K.J. Confounding of location and dispersion effects in unreplicated fractional factorials. J. Quality Technology 33 (2001) 129-139
158. McGrath R.N., and Lin D.K.J. Testing multiple dispersion effects in unreplicated fractional factorial designs. Technometrics 43 (2001) 406-414
159. McGrath R.N., and Lin D.K.J. A nonparametric dispersion test for unreplicated 2-level fractional factorial designs. J. Nonparametric Statist. 14 (2002) 699-714
160. Mertol A. Application of the Taguchi method to a chip scale package (CSP) design. IEEE Trans. on Advanced Packaging 23 (2000) 266-276
161. Meyer R.D., Steinberg D.M., and Box G.E.P. Follow-up designs to resolve confounding in multifactor experiments. Technometrics 38 (1996) 303-313
162. Miller A. Strip-plot configurations of fractional factorials. Technometrics 39 (1997) 153-161
163. Miller A. Analysis of parameter design experiments for signal-response systems. J. Quality Technology 34 (2001) 139-151
164. Milliken G.A., and Johnson. Analysis of Messy Data (1992), Chapman and Hall, London
165. Milliken G.A., Shi X., Mendicino M., and Vasudev P.K. Strip-plot design for two-step processes. Qual. Reliab. Engng. Internat. 14 (1998) 197-210
166. Moore M.A., and Epps H.H. Accelerated weathering of marine fabrics. J. Test. and Eval. 20 (1992) 139-143
167. Moorhead P.R., and Wu C.F.J. Cost-driven parameter design. Technometrics 40 (1998) 111-119
168. Morris M.D., and Mitchell T.J. Two-level multifactor designs for detecting the presence of interactions. Technometrics 25 (1983) 345-355
169. Morrison S.J. The study of variability in engineering design. Appl. Statist. 6 (1957) 133-138
170. Myers R.H., and Montgomery D.C. Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996), Wiley, London
171. Myers R.H., and Carter Jr. W.H. Response surface techniques for dual response systems. Technometrics 15 (1973) 301-317
172. Myers R.H., Khuri A.I., and Vining G.G. Response surface alternatives to the Taguchi robust parameter design approach. Amer. Statist. 46 (1992) 131-139
173. Myers R.H., Kim Y., and Griffiths K.L. Response surface methods and the use of noise variables. J. Quality Technology 29 (1997) 429-440
174. Myers R.H., Montgomery D.C., and Vining G.G. Generalized Linear Models with Applications in Engineering and the Sciences (2002), Wiley, New York
175. Nair V.N. Testing in industrial experiments with ordered categorical data (with discussion). Technometrics 28 (1986) 283-311
176. Nair V.N. Chi-squared tests for ordered alternatives in contingency tables. J. Amer. Statist. Assoc. 82 (1987) 283-291
177. Nair V.N., Abraham B., MacKay J., Box G., Kacker R., Lorenzen T., Lucas J., Myers R., Vining G., Nelder J., Phadke M., Sacks J., Welch W., Shoemaker A., Tsui K., Taguchi S., and Wu C.F.J. Taguchi's parameter design: a panel discussion. Technometrics 34 (1992) 127-161
178. Nair V.N., and Brennerman W.A. Methods for identifying dispersion effects in unreplicated factorial experiments: a critical analysis and proposed strategies. Technometrics 43 (2001) 388-405
179. Nair V.N., and Pregibon D. A data analysis strategy for quality engineering experiments. AT&T Technical J. 65 (1986) 73-84
180. Nair V.N., and Pregibon D. Analyzing dispersion effects from replicated factorial experiments. Technometrics 30 (1988) 247-257
181. Nair V.N., and Pregibon D. Discussion of "Signal-to-noise ratios, performance criteria and transformations", by G. E. P. Box. Technometrics 30 (1988) 24-29
182. Nelder J.A., and Lee Y. Generalized linear models for the analysis of Taguchi-type experiments. Appl. Stochastic Models Data Anal. 7 (1991) 107-120
183. Nelder J.A., and Lee Y. Likelihood, quasi-likelihood and pseudolikelihood: some comparisons. J. Roy. Statist. Soc. B 54 (1992) 273-284
184. Nelder J.A., and Lee Y. Letters to the editor: joint modelling of mean and dispersion. Technometrics 40 (1998) 168-171
185. Nelder J.A., and Mead R. A simplex method for function minimization. Comput. J. 7 (1965) 308-313
186. Nguyen N.-K. An algorithmic approach to constructing supersaturated designs. Technometrics 38 (1996) 69-73
187. Nguyen N.-K. A note on the construction of near orthogonal arrays with mixed levels and economic run size. Technometrics 38 (1996) 279-283
188. Pan G. The impact of unidentified location effects on dispersion-effects identification from unreplicated factorial designs. Technometrics 41 (1999) 313-326
189. Pan G., and Santner T.J. Designing two-factor experiments for selection that allow randomization restrictions. Sankhyā B 52 (1997) 181-199
190. Pan G., and Santner T.J. Selection and screening procedures to determine optimal product designs. J. Statist. Plann. Inference 67 (1998) 311-330
191. (this Handbook). Pan G., Santner T.J., and Goldsman D.M. The planning and analysis of industrial selection and screening experiments. In: Rao C.R., and Khattree R. (Eds). Handbook of Statistics Vol. 22 (2003), Elsevier, New York 75-129
192. Plackett R.L., and Burman J.P. The design of optimum multifactorial experiments. Biometrika 33 (1946) 305-325
193. Pledger M. Observable uncontrollable factors in parameter design. J. Quality Technology 28 (1996) 153-162
194. Pregibon D. Review of "Generalized Linear Models" by McCullagh and Nelder. Ann. Statist. 12 (1984) 1589-1596
195. Qu Z. Accurate methods for frequency responses and their sensitivities of proportionally damped systems. Comput. & Structures 79 (2001) 87-96
196. (Reprinted 1988, Dover Publications, Mincola, NY.). Raghavarao D. Constructions and Combinatorial Problems in Design of Experiments (1971), Wiley, Amsterdam
197. Rao C.R. Factorial experiments derivable from combinatorial arrangement of arrays. J. Roy. Statist. Soc. Suppl. IX 1 (1947) 128-139
198. Rao C.R. Some combinatorial problems of arrays and applications to design of experiments. In: Srivastava J.N. (Ed). A Survey of Combinatorial Theory (1973), North-Holland, New York
199. Rao C.R., and Kleffe J. Estimation of Variance Components (1988), North-Holland, Amsterdam
200. (1993). Reklaitis G.V., Ravindran A., and Ragsdell K.M. Eng. Optimization, Methods and Applications. 2nd ed. (1983), Wiley, Amsterdam
201. Rosenbaum P.R. Dispersion effects from fractional factorials in Taguchi's method of quality design. J. Roy. Statist. Soc. B 56 (1994) 641-652
202. Rosenbaum P.R. Some useful compound dispersion experiments in quality design. Technometrics 38 (1996) 354-364
203. Rosenbaum P.R. Blocking in compound dispersion experiments. Technometrics 41 (1999) 125-134
204. Sacks J., Schiller S.B., and Welch W.J. Design for computer experiments. Technometrics 31 (1989) 41-47
205. Sacks J., Welch W.J., Mitchell T.J., and Wynn H.P. Design and analysis of computer experiments. Statist. Sci. 4 (1989) 409-435
206. Schmidt S.R., and Launsby R.G. Understanding Industrial Designed Experiments. 3rd ed. (1992), Air Academy Press, New York
207. Searle S.R. Linear Models for Unbalanced Data (1987), Wiley, Colorado
208. Searle S.R., Casella G., and McCulloch C.E. Variance Components (1992), Wiley, New York
209. Seiden E., and Zemach R. On orthogonal arrays. Ann. Math. Statist. 37 (1966) 1355-1370
210. Shahani A.K. A saturated experiment in sequential determination of operating conditions. The Statistician 19 (1970) 403-408
211. Shoemaker A.C., and Tsui K. Response model analysis for robust design experiments. Comm. Statist. B 22 (1993) 1037-1064
212. Shoemaker A.C., Tsui K., and Wu C.F.J. Economical experimentation methods for robust design. Technometrics 33 (1991) 415-427
213. n-k designs. Technometrics 39 (1997) 372-381
214. Sohn S.Y., and Park C.J. Random effects linear models for process mean and variance. J. Quality Technology 30 (1998) 33-39
215. Srivastava J. On the inadequacy of the customary orthogonal arrays in quality control and general scientific experimentation, and the need of probing designs of higher revealing power. Comm. Statist. A 16 (1987) 2901-2941
216. Srivastava J.N. Designs for searching for non-negligible effects. In: Srivastava J.N. (Ed). A Survey of Statist. Design and Linear Models (1975), North-Holland, New York 507-519
217. Chapter 10. Srivastava J.N. A critique of some aspects of experimental design. In: Ghosh S., and Rao C.R. (Eds). Handbook of Statistics Vol. 13 (1996), Elsevier, Amsterdam 309-341
218. Chapter 7. Steinberg D.M. Robust design: experiments for improving quality. In: Ghosh S., and Rao C.R. (Eds). Handbook of Statistics Vol. 13 (1996), Elsevier, Amsterdam 199-240
219. Steinberg D.M., and Bursztyn D. Dispersion effects in robust-design experiments with noise factors. J. Quality Technology 26 (1994) 12-20
220. Steiner S.H., and Hamada M. Making mixtures robust to noise and mixing measurement errors. J. Quality Technology 29 (1997) 441-450
221. n-p designs. Technometrics 39 (1997) 298-307
222. Taguchi G. Performance analysis design. Int. J. Prod. Res. 16 (1978) 521-530
223. Taguchi G. Qual. engineering in Japan. Comm. Statist. A 14 (1985) 2785-2801
224. Taguchi G. An Introduction to Qual. Eng. (1986), American Supplier Institute, Amsterdam
225. Taguchi G. A System of Experimental Design (1987), American Supplier Institute, Dearborn, MI
226. Taguchi G., Chowdhury S., and Taguchi S. Robust Engineering (2000), McGraw-Hill, Dearborn, MI
227. Taguchi G., Elsayed E.A., and Hsiang T. Quality Engineering in Production Systems (1989), McGraw-Hill, New York
228. (available from the American Supplier Institute, Dearborn, MI). Taguchi G., and Wu Y. Introduction to Off-Line Quality Control (1980), Central Japan Qual. Control Assoc., New York
229. 2 optimality. Canad. J. Statist. 25 (1997) 191-201
230. 2 aberration for nonregular fractional factorial designs. Ann. Statist. 27 (1999) 1914-1926
231. Tsai H.-T. The probabilistic tolerance design for a subsystem using Taguchi's quadratic loss function. Comm. Statist. A 19 (1990) 3243-3258
232. Tsai P.W., Gilmour S.G., and Mead R. Letter to the editors: an alternative analysis of Logothetis's plasma etching data. Appl. Statist. 45 (1996) 498-503
233. Tsai P.W., Gilmour S.G., and Mead R. Projective three-level main effects designs robust to model uncertainty. Biometrika 87 (2000) 467-475
234. Tsui K.L. An overview of Taguchi method and newly developed statistical methods for robust design. IIE Trans. 24 (1992) 44-57
235. Tsui K.L. A multi-step analysis procedure for robust design. Statistica Sinica 6 (1996) 631-648
236. Tsui K.L. Robust design optimization for multiple characteristic problem. Internat. J. Prod. Res. 37 (1999) 433-445
237. Ullman N.R. The analysis of means (ANOM) for signal and noise. J. Quality Technology 21 (1989) 111-127
238. Vining G.G., and Bohn L.L. Response surfaces for the mean and variance using a nonparametric approach. J. Quality Technology 30 (1998) 282
239. Vining G.G., and Myers R.H. Combining Taguchi and response surface philosophies: a dual response approach. J. Quality Technology 22 (1990) 38-45
240. Vining G.G., and Schaub D. Experimental designs for estimating both mean and variance functions. J. Quality Technology 28 (1996) 135-147
241. Voss D.T., and Wang W. Simultaneous confidence intervals in the analysis of orthogonal saturated designs. J. Statist. Plann. Inference 81 (1999) 383-392
242. Wang J.C., and Wu C.F.J. An approach to the construction of asymmetrical orthogonal arrays. J. Amer. Statist. Assoc. 86 (1991) 450-456
243. Wang J.C., and Wu C.F.J. Nearly orthogonal arrays with mixed levels and small runs. Technometrics 34 (1992) 409-422
244. Wang J.C., and Wu C.F.J. A hidden projection property of Plackett-Burman and related designs. Statistica Sinica 5 (1995) 235-250
245. Wang Y., Lin D.K., and Fang K. Designing outer array points. J. Quality Technology 27 (1995) 226-241
246. Watson G.S. A study of the group screening method. Technometrics 3 (1961) 371-388
247. Welch W.J., Buck R.J., Sack J., Wynn H.P., Mitchell T.J., and Morris M.D. Screening, predicting, and computer experiments. Technometrics 34 (1992) 15-25
248. Welch W.J., Yu T.K., Kang S.M., and Sacks J. Computer experiments for quality control by parameter design. J. Quality Technology 22 (1990) 15-22
249. Whiteley R., and Lawson R. Karl Fischer moisture designed experiment. In: Schmidt S.R., and Launsby R.G. (Eds). Understanding Industrial Designed Experiments. 3rd ed. (1992), Air Academy Press, Colorado 7.207-7.213
250. Wiklander K. A comparison of two estimators of dispersion effects. Comm. Statist. A 27 (1998) 905-923
251. Wolfinger R.D., and Tobias R.D. Joint estimation of location, dispersion and random effects in robust design. Technometrics 40 (1998) 62-71
252. Wu C.F.J. Construction of supersaturated designs through partially aliased interactions. Biometrika 80 (1993) 661-669
253. Wu C.F.J., and Chen Y. A graph-aided method for planning two-level experiments when certain interactions are important. Technometrics 34 (1992) 162-174
254. Wu C.F.J., and Hamada M. Experiments: Planning, Analysis, and Parameter Design Optimization (2000), Wiley, Colorado
255. Yamada S., and Lin D.K.J. Supersaturated design including an orthogonal base. Canad. J. Statist. 25 (1997) 203-213