Transformation robust experimental design with application to some problems in chemistry

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In this paper we consider the selection of an appropriate experimental design when the exact form of the error distribution is unknown. The goal of error-robust design is to design an experiment so that the 'ill-effects' resulting from a lack of knowledge of the error structure will be minimal. Numerical algorithms for computer construction of error-robust designs are developed and the method is illustrated in connection with the design of experiments for nonlinear modeling of chemical reactions.

Original languageEnglish (US)
Pages (from-to)261-270
Number of pages10
JournalChemometrics and Intelligent Laboratory Systems
Issue number1-2
StatePublished - Feb 1991


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