Experimental Designs for Computer Experiments and for Industrial Experiments with Model Unknown

Kai-Tai Fang

Research output: Contribution to journalJournal articlepeer-review


Most statistical designs, such as orthogonal designs and optimal designs, are based on a specific statistical model. It is very often that the experimenter does not completely know the underlying model between the response and the factors. In computer experiments, the underlying model is known, but too complicated. In this case we can treat the model as a black box, or model to be unknown. Both cases need a space filling design. The uniform design is one of space filling designs and seeks experimental points to be uniformly scattered on the domain. The uniform design can be used for computer experiments and also for industrial experiments when the underlying model is unknown. In this paper we shall introduce the theory and method of the uniform design and related data analysis and modelling methods. Applications of the uniform design to industry and other areas are discussed.
Original languageEnglish
Pages (from-to)277-299
Number of pages23
JournalJournal of the Korean Statistical Society
Issue number3
Publication statusPublished - 1 Sept 2002
Externally publishedYes

User-Defined Keywords

  • Computer experiments
  • experiment with mixtures
  • factorial design
  • uniform design


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