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Assessing additivity in nonparametric models —A kernel-based method

✍ Scribed by Xiaoming Wang; Keumhee C. Carriere

Publisher: John Wiley and Sons
Year: 2011
Tongue: French
Weight: 209 KB
Volume: 39
Category: Article
ISSN: 0319-5724
DOI: 10.1002/cjs.10128

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## Abstract When several models are proposed for one and the same process, experimental design techniques are available to design optimal discriminatory experiments. However, because the experimental design techniques are model‐based, it is important that the required model predictions are not too