TY - JOUR
T1 - Factorial hypercube designs for spatial correlation regression
AU - Salagame, Raviprakash R.
AU - Barton, Russell R.
N1 - Funding Information:
We thank Xerox Corp. for the printhead design problem and the non-linear thermal analysis code used in this study. This research was supported in part through NSF Grant DDM-9118846.
PY - 1997
Y1 - 1997
N2 - The problem of generating a good experimental design for spatial correlation regression is studied in this paper. The quality of fit generated by random designs, Latin hypercube designs and factorial designs is studied for a particular response surface that arises in inkjet printhead design. These studies indicate that the quality of fit generated by spatial correlation models is highly dependent on the choice of design. A design strategy that we call 'factorial hypercubes' is introduced as a new method. This method can be thought of as an example of a more general class of hybrid designs. The quality of fit generated by these designs is compared with those of other methods. These comparisons indicate a better fit and less numerical problems with factorial hypercubes.
AB - The problem of generating a good experimental design for spatial correlation regression is studied in this paper. The quality of fit generated by random designs, Latin hypercube designs and factorial designs is studied for a particular response surface that arises in inkjet printhead design. These studies indicate that the quality of fit generated by spatial correlation models is highly dependent on the choice of design. A design strategy that we call 'factorial hypercubes' is introduced as a new method. This method can be thought of as an example of a more general class of hybrid designs. The quality of fit generated by these designs is compared with those of other methods. These comparisons indicate a better fit and less numerical problems with factorial hypercubes.
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U2 - 10.1080/02664769723648
DO - 10.1080/02664769723648
M3 - Article
AN - SCOPUS:0007667632
SN - 0266-4763
VL - 24
SP - 453
EP - 474
JO - Journal of Applied Statistics
JF - Journal of Applied Statistics
IS - 4
ER -