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Cenny Taslim
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ABSTRAK
This paper proposes methods for forward and inverse system modeling using Bayesian and least squares regression. This methods are based on both space-filling design criteria for multiple response problems and linear optimality criteria focusing on D optimality. Modeling with and without the constant term is considered motivated by the case study application of genetic network modeling. We propose extended one-factor-at-a-time experimentation followed bye augmentation of next stage design which offers biologists simplicity. Result are ...
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Oxon: Taylor and Francis, 2017
658 JIPE
Artikel Jurnal Universitas Indonesia Library