Design and analysis of computer experiments

The design and analysis of computer experiments as a relatively young research field is not only of high importance for many industrial areas but also presents new challenges and open questions for statisticians. This editorial introduces a special issue devoted to the topic. The included papers present an interesting mixture of recent developments in the field as they cover fundamental research on the design of experiments, models and analysis methods as well as more applied research connected to real-life applications.

[1]  P. Lancaster,et al.  Surfaces generated by moving least squares methods , 1981 .

[2]  R. Haftka,et al.  Elements of Structural Optimization , 1984 .

[3]  K. Svanberg.  The method of moving asymptotes—a new method for structural optimization , 1987 .

[4]  Ajg Bert Schoofs.  Experimental Design and Structural Optimization , 1988 .

[5]  Jerome Sacks,et al.  Designs for Computer Experiments , 1989 .

[6]  Henry P. Wynn,et al.  [Design and Analysis of Computer Experiments]: Rejoinder , 1989 .

[7]  J. Sacks,et al.  A system for quality improvement via computer experiments , 1991 .

[8]  T. J. Mitchell,et al.  Bayesian Prediction of Deterministic Functions, with Applications to the Design and Analysis of Computer Experiments , 1991 .

[9]  Ajg Bert Schoofs,et al.  Approximation of structural optimization problems by means of designed numerical experiments , 1992 .

[10]  Lfp Pascal Etman,et al.  Some global and mid-range approximation concepts for optimum structural design , 1992 .

[11]  Jerome Sacks,et al.  Integrated circuit design optimization using a sequential strategy , 1992, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..

[12]  Henry P. Wynn,et al.  Screening, predicting, and computer experiments , 1992 .

[13]  Raphael T. Haftka,et al.  Recent Advances in Approximation Concepts for Optimum Structural Design , 1993 .

[14]  T. Belytschko,et al.  A new implementation of the element free Galerkin method , 1994 .

[15]  Thomas J. Santner,et al.  Design and analysis of computer experiments , 1998 .

[16]  M. Morris.  The Design and Analysis of Computer Experiments , 2004 .

[17]  Runze Li,et al.  Design and Modeling for Computer Experiments , 2005 .

[18]  Thomas Hochkirchen.  Design and Modeling for Computer Experiments by K.-T. Fang, R. Li and A. Sudjianto , 2006 .

[19]  Bertrand Iooss,et al.  Latin hypercube sampling with inequality constraints , 2009, 0909.0329.

[20]  Tobias Wagner,et al.  Modelling of a thermomechanically coupled forming process based on functional outputs from a finite element analysis and from experimental measurements , 2010 .

[21]  S. Lefebvre,et al.  Metamodeling of aircraft infrared signature dispersion , 2010 .

[22]  D. Steinberg,et al.  Computer experiments: a review , 2010 .

[23]  Giovanni Pistone,et al.  Comparing and generating Latin Hypercube designs in Kriging models , 2010 .

[24]  M. Ratto,et al.  Using recursive algorithms for the efficient identification of smoothing spline ANOVA models , 2010 .

[25]  A. Jourdan,et al.  Optimal Latin hypercube designs for the Kullback–Leibler criterion , 2010 .