Abstract
This paper considers the optimal design problem for multiresponse regression models. The \(R\)-optimality introduced by Dette (J R Stat Soc B 59:97–110, 1997) for single response experiments is extended to the case of multiresponse parameter estimation. A general equivalence theorem for the \(R\)-optimality is provided for multiresponse models. Illustrative examples of the \(R\)-optimal designs for two multiresponse models are presented based on the general equivalence theorem.
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References
Atashgah AB, Seifi A (2009) Optimal design of multi-response experiments using semi-definite programming. Optim Eng 10:75–90
Chang F-C, Huang M-NL, Lin DKJ, Yang H-C (2001) Optimal designs for dual response polynomial regression models. J Stat Plan Inference 93:309–322
Dette H (1993a) A new interpretation of optimality for E-optimal designs in linear regression models. Metrika 40:37–50
Dette H (1993b) Elfving’s theorem for D-optimality. Ann Stat 21:753–766
Dette H (1997) Designing experiments with respect to ‘standardized’ optimality criteria. J R Stat Soc B 59:97–110
Dette H, Holland-Letz T (2009) A geometric characterization of \(c\)-optimal designs for heteroscedastic regression. Ann Stat 37(6B):4088–4103
Dette H, O’Brien TE (1999) Optimality criteria for regression models based on predicted variance. Biometrika 86:93–106
Dette H, Studden WJ (1993) A geometric solution of the Bayesian E-optimal design problems. In: Gupta SS, Berger JO (eds) Statistical decision theory and related topics V. Springer, New York, pp 157–170
Draper NR, Hunter WG (1966) Design of experiments for parameter estimation in multiresponse situations. Biometrika 53:525–533
Fedorov VV (1972) Theory of optimal experiments. Academic Press, New York
Huang M-NL, Chen RB, Lin CS, Wong WK (2006) Optimal designs for parallel models with correlated responses. Stat Sin 16:121–133
Imhof L (2000) Optimum designs for a multi-response regression models. J Multivar Anal 72:120–131
Khuri AI, Cornell JA (1996) Response surfaces: designs and analysis. Marcel Dekker, New York
Krafft O, Schaefer M (1992) D-optimal designs for a multivariate regression model. J Multivar Anal 42: 130–140
Liu X, Yue R-X, Hickernell FJ (2011) Optimality criteria for multiresponse linear models based on predictive ellipsoids. Stat Sin 21:421–432
Whittle P (1973) Some general points in the theory of optimal experimental designs. J R Stat Soc B 35:123–130
Wijesinha MMC (1984) Design of experiments for multiresponse models. Unpublished PhD thesis, Dept of Statistics, University of Florida, Gainesville
Yue R-X, Liu X (2010) \(I^r_L\)-optimal designs for a hierarchically ordered system of regression models. Comput Stat Data Anal 54:3458–3465
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This work was partially supported by NSFC grant (11071168,11101077), Special Funds for Doctoral Authorities of Education Ministry (20103127110002), Innovation Program of Shanghai Municipal Education Commission (11zz116), E-Institutes of Shanghai Municipal Education Commission (E03004), Shanghai Leading Academic Discipline Project (S30405).
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Liu, X., Yue, RX. A note on \(R\)-optimal designs for multiresponse models. Metrika 76, 483–493 (2013). https://doi.org/10.1007/s00184-012-0400-1
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DOI: https://doi.org/10.1007/s00184-012-0400-1