Agresti, A., and Coull, B. A. (1998), “Approximate Is Better than ‘Exact’ for Interval Estimation of Binomial Proportions,” The American Statistician, 52, 2, 119-126.
Agresti, A., and Caffo, B. N. (2000), “Simple and Effective Confidence Intervals for Proportions and Differences of Proportions Result from Adding Two Successes and Two Failures,” The American Statistician, 54, 4, 280-288.
Atkinson, A. C. and Donev, A. N.(1992), Optimum Experimental Designs, Clarendon Press, Oxford p.148.
Barker (2011), C., “Power and Sample Size Calculations in JMP,” SAS Institute. Retrieved January 22, 2016 from http://www.jmp.com/en_us/whitepapers/jmp/power-sample-calculations.html.
Bose, R.C., (1947), “Mathematical Theory of the Symmetrical Factorial Design” Sankhya: The Indian Journal of Statistics, Vol. 8, Part 2, pp. 107-166.
Box, G.E.P. (1988), “Signal–to–Noise Ratio, Performance Criteria, and Transformations,” Technometrics 30, 1–40.
Box, G.E.P. and Behnken, D.W. (1960), “Some New Three-Level Designs for the Study of Quantitative Variables,” Technometrics 2, 455–475.
Box, G.E.P. and Draper, N.R. (1987), Empirical Model–Building and Response Surfaces, New York: John Wiley and Sons.
Box, G.E.P., Hunter,W.G., and Hunter, J.S. (1978), Statistics for Experimenters, New York: John Wiley and Sons, Inc.
Box, G.E.P., Hunter,W.G., and Hunter, J.S. (2005), Statistics for Experimenters: Design, Innovation, and Discovery, 2nd edition, New York: John Wiley and Sons, Inc.
Box, G.E.P. and Meyer, R.D. (1986), “An Analysis of Unreplicated Fractional Factorials,” Technometrics 28, 11–18.
Box, G.E.P. and Wilson, K.B. (1951), “On the Experimental Attainment of Optimum Conditions,” Journal of the Royal Statistical Society, Series B, 13, 1-45.
Byrne, D.M. and Taguchi, G. (1986), ASQC 40th Anniversary Quality Control Congress Transactions, Milwaukee, WI: American Society of Quality Control, 168–177.
Chen, J., Sun, D.X., and Wu, C.F.J. (1993), “A Catalogue of Two-level and Three-Level Fractional Factorial Designs with Small Runs,” International Statistical Review, 61, 1, p131-145, International Statistical Institute.
Clopper, C., Pearson, E. S. (1934), “The use of confidence or fiducial limits illustrated in the case of the binomial,” Biometrika 26, 404–413.
Cochran, W.G. and Cox, G.M. (1957), Experimental Designs, Second Edition, New York: John Wiley and Sons.
Cohen, M.B., Gibbons, P.B., Mugridge, W.B., Colbourn, C.J. (2003), “Constructing Test Suites for Interaction Testing,” Proceedings 25th International Conference on Software Engineering, 38–48.
Cohen, M.B., Dwyer, M.B., and Shi, J. (2007) “Interaction Testing of Highly-Configurable Systems in the Presence of Constraints,” Proceedings of the 2007 International Symposium on Software Testing and Analysis, 129-139.
Colbourn, C. and Dinitz, J., eds. (2010), Handbook of Combinatorial Designs, 2nd Edition, CRC Press.
Cornell, J.A. (1990), Experiments with Mixtures, Second Edition New York: John Wiley & Sons.
Cook, R.D. and Nachtsheim, C.J. (1990), “Letter to the Editor: Response to James M. Lucas,” Technometrics 32, 363–364.
Dalal, S.R. and Mallows, C.L. (1998), “Factor-Covering Designs for Testing Software,” Technometrics 40, 234–243.
Daniel, C. (1959), “Use of Half–normal Plots in Interpreting Factorial Two–level Experiments,” Technometrics, 1, 311–314.
Daniel C. and Wood, F. (1980), Fitting Equations to Data, Revised Edition, New York: John Wiley and Sons, Inc.
Derringer, D. and Suich, R. (1980), “Simultaneous Optimization of Several Response Variables,” Journal of Quality Technology, Oct. 1980, 12:4, 214–219.
DuMouchel, W. and Jones, B. (1994), “A Simple Bayesian Modification of D-Optimal Designs to Reduce Dependence on an Assumed Model,” Technometrics, 36, 37–47.
Errore, A., Jones, B., Li, W., and Nachtsheim, C. (2016), “Using Definitive Screening Designs to Identify Active First- and Second-Order Factor Effects,” forthcoming, Journal of Quality Technology.
Fang, K.T. and Sudfianto, A. (2006), Design and Modeling for Computer Experiments, Chapman and Hall CRC, Boca Ratan. Florida
Fries, A. and Hunter, W.G. (1984), “Minimum Aberration 2^(k-p) Designs,” Technometrics, 22, 601-608.
Gotwalt, C. M., Jones, B.A., and Steinberg, D. M., (2009) “Fast Computation of Designs Robust to Parameter Uncertainty for Nonlinear Settings,” Technometrics, 51:1, 88-95.
Goos, P. (2002) The Optimal Design of Blocked and Split Plot Experiments, New York: Springer.
Goos, P. and Jones, B. (2011), Optimal Design of Experiments: A Case Study Approach, John Wiley and Sons.
Haaland, P.D. (1989), Experimental Design in Biotechnology, New York: Marcel Dekker, Inc.
Hahn, G. J., Meeker, W.Q., and Feder, P. I., (1976), “The Evaluation and Comparison of Experimental Designs for Fitting Regression Relationships,” Journal of Quality Technology, 8:3, pp. 140-157.
Hamada, M. and Wu, C.F.J. (1992), “Analysis of Designed Experiments with Complex Aliasing,” Journal of Quality Technology, 24:3, 130-137.
Hartman, A. and Raskin, L. (2004), “Problems and Algorithms for Covering Arrays,” Discrete Mathematics, 284, 149–156.
Hartman, A. and Raskin, L. (2004), “Problems and Algorithms for Covering Arrays,” Discrete Mathematics, 284:1, 149-156.
Huber, J. and Zwerina, K. (1996), “The Importance of Utility Balance in Efficient Choice Designs,” Journal of Marketing Research, 33, 307-317.
Jennrich, R.I. (1969), “Asymptotic Properties of Non-Linear Least Squares Estimators,” Annals of Mathematical Statistics, 40, 633-643.
John, P.W.M. (1972), Statistical Design and Analysis of Experiments, New York: Macmillan Publishing Company, Inc.
Johnson, M.E. and Nachtsheim, C.J. (1983), “Some Guidelines for Constructing Exact D–Optimal Designs on Convex Design Spaces,” Technometrics, 25, 271–277.
Jones, B. and Goos, P. (2007), “A Candidate-set-free Algorithm for Generating D-optimal Designs,” Applied Statistics, 56, Part 3, pp 1-18. Retrieved January 22, 2016 from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3001117/.
Jones, B. and Goos, P. (2015), “Optimal Design of Blocked Experiments in the Presence of Supplementary Information about the Blocks,” Technometrics, 47(4), 301-317.
Jones, B. and Johnson, R.T. (2009), “Design and Analysis for the Gaussian Process Model,” Quality and Reliability Engineering International, 25, 515-524. Retrieved May 22, 2016 from http://www.stat.osu.edu/~comp_exp/jour.club/Jones_Johnson_QREI09.pdf.
Jones, B., Lin, D.K.J., and Nachtsheim, C.J. (2008), “Bayesian D-Optimal Supersaturated Designs,” Journal of Statistical Planning and Inference, 138, 86-92.
Jones, B. and Nachtsheim, C.J. (2011), “A Class of Three-Level Designs for Definitive Screening in the Presence of Second-Order Effects,” Journal of Quality Technology, 43, 1-15. Retrieved January 22, 2016 from http://www.jmp.com/en_us/whitepapers/jmp/class-three-level-definitive-screening.html.
Jones, B. and Nachtsheim, C.J. (2013), “Definitive Screening Designs with Added Two-Level Categorical Factors,” Journal of Quality Technology, 45, 121-129.
Jones, B. and Nachtsheim, C.J. (2016), “Blocking Schemes for Definitive Screening Designs,” Technometrics, 58:1, 74-83.
Jones, B. and Nachtsheim, C.J. (2016), “Effective Model Selection for Definitive Screening Designs,” Technometrics, accepted for publication.
Joseph, V.R., Gul, E., and Ba, S. (2015), “Maximum Projection Designs for Computer Experiments,” Biometrika, 102:2, 371-380.
Kessels, R., Jones, B., Goos, P. (2011), “Bayesian Optimal Designs for Discrete Choice Experiments with Partial Profiles,” Journal of Choice Modelling, 4(3), 52-74.
Khuri, A.I. and Cornell, J.A. (1987), Response Surfaces: Design and Analysis, New York: Marcel Dekker.
Kowalski, S.M., Cornell, J.A., and Vining, G.G. (2002) “Split Plot Designs and Estimation Methods for Mixture Experiments with Process Variables,” Technometrics 44: 72-79.
Lenth, R.V. (1989), “Quick and Easy Analysis of Unreplicated Fractional Factorials,” Technometrics, 31, 469–473.
Lekivetz, R. (2014, June 5), “What is an Alias Matrix?” Retrieved January 22, 2016 from http://blogs.sas.com/content/jmp/2014/06/05/what-is-an-alias-matrix/.
Lekivetz, R., Sitter, R., Bingham, D., Hamada, M.S., Moore, L.M., and Wendelberger, J.R. (2015), “On Algorithms for Obtaining Orthogonal and Near-Orthogonal Arrays for Main-Effects Screening,” Journal of Quality Technology 47:1 2-13.
Lin, D. K. J. (1993), “A New Class of Supersaturated Design,” Technometrics, 35, 28-31.
Lucas, J.M., (1990), “Letter to the Editor: Comments on Cook and Nachtsheim (1989),” Technometrics, 32, 363–364.
Meyer, R.K. and Nachtsheim, C.J. (1995), The Coordinate Exchange Algorithm for Constructing Exact Optimal Designs,” Technometrics, Vol 37, pp. 60-69.
Meyer, R.D., Steinberg, D.M., and Box, G.(1996), Follow-up Designs to Resolve Confounding in Multifactor Experiments, Technometrics, 38:4, p307.
Miller, A. and Sitter, R. R. (2005), “Using Folded-Over Nonorthogonal Designs,” Technometrics, 47(4), 502-513.
Mitchell, T.J. (1974), “An algorithm for the Construction of D-Optimal Experimental Designs,” Technometrics, 16:2, pp.203-210.
Montgomery, D.C. (2009), Design and Analysis of Experiments, Seventh Edition, Hoboken: John Wiley & Sons, Inc.
Morgan, J. (2009), “Constrained Covering Arrays: Resolving Invalid Level Combination Constraints,” Technical Report, Cary NC: SAS Institute Inc., also in Supplemental Proceedings of the 20th International Symposium on Software Reliability Engineering.
Morris, M.D., Mitchell, T.J., and Ylvisaker, D. (1993), “Bayesian Design and Analysis of Computer Experiments: Use of Derivatives in Surface Prediction,” Technometrics 35:2, 243-255.
Myers, R.H. (1976) Response Surface Methodology, Boston: Allyn and Bacon.
Myers, R.H. (1988), Response Surface Methodology, Virginia Polytechnic and State University.
Myers, R.H., Montgomery, D.C., and Anderson-Cook, C.M. (2009), Response Surface Methodology, Process and Product Optimization Using Designed Experiments, Third Edition, Hoboken: John Wiley & Sons, Inc.
Nayeri, P., Colbourn, C., and Konjevod, G. (2013), “Randomized Postoptimization of Covering Arrays,” European Journal of Combinatorics, 34, 91-103.
Peipel, G.F. (1988), “Programs for Generating Extreme Vertices and Centroids of Linearly Constrained Experimental Regions,” Journal of Quality Technology 20:2, 125-139.
Plackett, R.L. and Burman, J.P. (1947), “The Design of Optimum Multifactorial Experiments,” Biometrika, 33, 305–325.
Sall, J. (2008), “Choice Experimental Designs Are Different,” SAS Institute. Retrieved January 22, 2016, from http://blogs.sas.com/content/jmp/2008/12/16/choice-experimental-designs-are-different/.
Santner, T.B., Williams, B., and Notz, W. (2003), The Design and Analysis of Computer Experiments, Springer, New York.
Schoen, E. D. (1999), “Designing Fractional Two-level Experiments with Nested Error Structures,” Journal of Applied Statistics 26: 495-508.
Scheffé, H. (1958) “Experiments with Mixtures”, Journal of the Royal Statistical Society B v20, 344–360.
Shewry, M.C. and Wynn, H.P. (1987), “Maximum Entropy Sampling,” Journal of Applied Statistics 14, 165-170.
Snee, R.D. and Marquardt, D.W. (1974), “Extreme Vertices Designs for Linear Mixture Models,” Technometrics, 16, 391–408.
Snee, R.D. (1975), “Experimental Designs for Quadratic Models in Constrained Mixture Spaces,” Technometrics, 17:2, 149–159.
Snee, R.D. (1979), “Experimental Designs for Mixture Systems with Multicomponent Constraints,” Commun. Statistics: Theory and Methods, 8(4), 303–326.
Snee, Ronald D. (1985), “Computer Aided Design of Experiments - Some Practical Experiences,” Journal of Quality Technology, 17, 222-236.
St. John, R.C. and Draper, N.R. (1975), “D-Optimality for Regression Designs: A Review,” Technometrics, 17, 5-23.
Vivacqua, C.A., and Bisgaard, S. (2004), “Strip-Block Experiments for Process Improvement and Robustness,”, Quality Engineering, 16, 495-500.
Welch, W.J. (1984), “Computer-Aided Design of Experiments for Response Estimation,” Technometrics, 26, 217–224.
Wu, C.F. (1981), “Asymptotic Theory of Nonlinear Least Squares Estimation,” Annals of Mathematical Statistics, 9, 501-513.
Wu, C.F.J., and Hamada, M.S. (2009), Experiments: Planning, Analysis, and Optimization, Second Edition, Wiley.
Xiao, L., Lin, D.K.J., and Bai, F. (2012), “Constructing Definitive Screening Designs Using Conference Matrices,” Journal of Quality Technology, 44, 2-8.
Ye, K.Q. and Hamada, M. (2000), “Critical Values of the Lenth Method for Unreplicated Factorial Designs,” Journal of Quality Technology 32, 57-66.
Yilmaz, C., Fouche, S., Cohen, M.B., Porter, A., Demiroz, G., and Koc, U. (2014), “Moving Forward with Combinatorial Interaction Testing,” Computer 47, 37–45.
Zahran, A., Anderson-Cook, C.M., and Myers, R.H. (2003), “Fraction of Design Space to Assess the Prediction Capability of Response Surface Designs,” Journal of Quality Technology, 35, 377–386.
Zhang, Z. and Zhang, J. (2011), “Characterizing Failure-Causing Parameter Interactions by Adaptive Testing,” Proceedings of the 2011 International Symposium on Software Testing and Analysis, 331-341.