D-optimization based model calibration for air mass flow in engines
Author:
Affiliation:
1. Graduate School of Science and Technology, Sophia University
2. Department of Engineering and Applied Sciences, Sophia University
Publisher
Japan Society of Mechanical Engineers
Link
https://www.jstage.jst.go.jp/article/transjsme/82/839/82_15-00688/_pdf
Reference13 articles.
1. Aguiar, P., d., Bourguignon, B., Khots, M., Massart, D. and Phan-Than-Luu, R., D-optimal designs, Chemometrics and Intelligent Laboratory Systems, Vol. 30, No.2 (1995), pp. 199-210.
2. Akaike, H., Information theory and an extension of the maximum likelihood principle, Selected Papers of Hirotugu Akaike, Springer Series in Statistics (1998), pp. 199-213, Springer New York.
3. Cavanaugh, J. E., Unifying the derivations for the akaike and corrected akaike information criteria, Statistics & Probability Letters, Vol. 33, No.2 (1997), pp. 201-208.
4. Cook, R. D. and Nachtsheim, C. J., A comparison of algorithms for constructing exact D-optimal designs, Technometrics, Vol. 22, No.3 (1980), pp. 315-324.
5. Fedorov, V., Theory of optimal experiments, Probability and Mathematical Statistics (1972), Elsevier Science.
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