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16.7 References
Allen T, Bernshteyn M, Kabiri K, Yu L (2003) A Comparison of Alternative Methods for Constructing Meta-Models for Computer Experiments. The Journal of Quality Technology, 35(2): 1–17
Ben-Akiva M, Steven RL (1985) Discrete Choice Analysis. MIT Press, Cambridge, Mass.
Chambers M (2000) Queuing Network Construction Using Artificial Neural Networks. Ph.D. Dissertation. The Ohio State University, Columbus.
Cybenko G (1989) Approximations by Superpositions of a Sigmoidal Function. Mathematics of Control, Signals, and Systems. Springer-Verlag, New York
Hadj-Alouane AB and Bean JC (1997) A Genetic Algorithm for the Multiplechoice Integer Program. Operations Research, 45: 92–101
Hosmer DW, Lemeshow S (1989) Applied Logistic Regression. John Wiley, New York
Kohonen T (1989) Self-Organization and Associative Memory (Springer Series in Information Sciences 8) 3rd edn. Springer-Verlag, London
Legender (1805) Nouvelles méthodes pour la détermination des orbites des comètes. (http://york.ac.uk.depts/maths/histstat/lifework.htm)
Matheron G (1963) Principles of Geostatistics. Economic Geology 58: 1246–1266
McKay MD, Conover WJ, Beckman RJ (1979) A comparison of three methods for selection values of input variables in the analysis of output from a computer code. Technometrics 21: 239–245
Reed RD, Marks RJ (1999) Neural Smithing: Supervised Learning and Feed-Forward Artificial Neural Net. MIT Press, Cambridge, Mass.
Ribardo C (2000) Desirability Functions for Comparing Parameter Optimization Methods and For Addressing Process Variability Under Six Sigma Assumptions, PhD dissertation, Industrial & Systems Engineering, The Ohio State University, Columbus
Rumelhart DE, McClelland JL (eds.) (1986) Parallel Distributed Processing: Exploration in the Microstructure of Cognition. (Foundations, vol. 1). MIT Press: Cambridge, Mass.
Sacks J, Welch W, Mitchell T, Wynn H (1989) Design and Analysis of Computer Experiment. Statistical Science 4: 409–435
Sandor Z, Wedel M (2001) Designing Conjoint Choice Experiments Using Managers’ Prior Beliefs. Journal of Marketing Research XXXVIII: 430–444
Welch WJ (1983) A Mean Squared Error Criterion for the Design of Experiments. Biometrika 70: 205–213
Welch WJ, Buck, RJ, Sacks J, Wynn HP, Mitchell TJ, Morris MD (1992) Screening, Predicting, and Computer Experiments. Technometrics 34: 15–25
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(2006). Advanced Regression and Alternatives. In: Introduction to Engineering Statistics and Six Sigma. Springer, London. https://doi.org/10.1007/1-84628-200-4_16
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DOI: https://doi.org/10.1007/1-84628-200-4_16
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