Multi-Response Linear Polynomial Regression Models Designs

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Abstract:

The multi-response linear polynomial model is transformed into a single response polynomial model. In symmetric test area, for the polynomial models the A-D- and E-optimal experimental designs are obtained.

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1314-1317

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] E.P. Liski, N.K. Mandal, K.R. Shah, B.K. Sinha. Topics in Optimal Design. [M]. Springer Press, (2002).

Google Scholar

[2] A.I. Khuri. A test for lack of fit of a linear multiresponse model. [J]. Technometrics, 1985 (27) 211-213.

DOI: 10.1080/00401706.1985.10488045

Google Scholar

[3] A.C. Atkinson, A.N. Donev. Optimal experimental design. [M]. Oxford: Oxford University Press, (1992).

Google Scholar

[4] V.V. Fedorov. Theory of optimal Experiments. [M]. ACADEMIC Press, (1972).

Google Scholar

[5] A. de la Garza. Spacing of information in polynomail regression. [J]. Annals of Mathematical Statistics, 1954 (25) 123-130.

DOI: 10.1214/aoms/1177728851

Google Scholar

[6] P. Whittle. Some general points in the theory of optimal experimental design. [J]. Journal of the Royal Statistical Society. Series B, 1973 (35) 123-130.

DOI: 10.1111/j.2517-6161.1973.tb00944.x

Google Scholar