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- W1976581804 abstract "Summary 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." @default.
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- W1976581804 date "1997-08-01" @default.
- W1976581804 modified "2023-09-28" @default.
- W1976581804 title "Factorial hypercube designs for spatial correlation regression" @default.
- W1976581804 doi "https://doi.org/10.1080/02664769723648" @default.
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