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Design of experiments for bivariate binary responses modelled by Copula functions by N.G. Denman; J.M. McGree; J.A. Eccleston; S.B. Duffull is a Mathematics article available to read on EtoBox.

What is Design of experiments for bivariate binary responses modelled by Copula functions about?

Optimal design for generalized linear models has primarily focused on univariate data. Often experiments are performed that have multiple dependent responses described by regression type models, and it is of interest and of value to design the experiment for all these responses. This requires a multivariate distribution underlying a pre-chosen model for the data. Here, we consider the design of experiments for bivariate binary data which are dependent. We explore Copula functions which provide a rich and flexible class of structures to derive joint distributions for bivariate binary data. We present methods for deriving optimal experimental designs for dependent bivariate binary data using Copulas, and demonstrate that, by including the dependence between responses in the design process, more efficient parameter estimates are obtained than by the usual practice of simply designing for a single variable only. Further, we investigate the robustness of designs with respect to initial parameter estimates and Copula function, and also show the performance of compound criteria within this bivariate binary setting.

Who reads Design of experiments for bivariate binary responses modelled by Copula functions?

Author

N.G. Denman; J.M. McGree; J.A. Eccleston; S.B. Duffull

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0167-9473)

Published

2011

Language

EN

Field

Mathematics (Physical Sciences)