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- W2013505874 abstract "The profile-based sensitivity measure proposed by Sulieman et al. (Technometrics 43(4) (2001) 425) for single-response nonlinear models is extended to the case of multiresponse parameter estimation based on the Box–Draper estimation criterion. The profile-based sensitivity measure for the parameters in the multiresponse case is a vector-valued measure which simultaneously provides complete insight on the sensitivity behaviours of the M predicted responses in the model with respect to a parameter of interest. While providing first-order sensitivity information, the profile-based sensitivity coefficients, unlike the conventional sensitivity coefficients, also account for nonlinear parameter estimate co-dependencies derived from the Hessian of the determinant criterion, and are thus valid over broader ranges of parameter uncertainties. Two examples are discussed to illustrate applications of the extended measure." @default.
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- W2013505874 date "2004-05-01" @default.
- W2013505874 modified "2023-10-04" @default.
- W2013505874 title "A profile-based approach to parametric sensitivity in multiresponse regression models" @default.
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- W2013505874 doi "https://doi.org/10.1016/s0167-9473(03)00086-0" @default.
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