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Minimum Bias Design for Polynomial Regression
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 Title & Authors
Minimum Bias Design for Polynomial Regression
Jang, Dae-Heung; Kim, Youngil;
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 Abstract
Traditional criteria for optimum experimental designs depend on the specifications of the model; however, there will be a dilemma when we do not have perfect knowledge about the model. Box and Draper (1959) suggested one direction to minimize bias that may occur in this situation. We will demonstrate some examples with exact solutions that provide a no-bias design for polynomial regression. The most interesting finding is that a design that requires less bias should allocate design points away from the border of the design space.
 Keywords
bias;minimum bias design;Q-optimal design;integrated mean squared error(IMSE);
 Language
Korean
 Cited by
 References
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