Optimal minimax designs for prediction i
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Joy King; Weng Kee Wong
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Article
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1998
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Elsevier Science
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English
โ 680 KB
We construct optimal designs for heteroscedastic models when the goal is to make efficient prediction over a compact interval. It is assumed that the point or points which are interesting to predict are not known before the experiment is run. Two minimax strategies for minimizing the maximum fitted