On the Computational Methods in Non-linear Design of Experiments

Christos P. Kitsos () and Amílcar Oliveira ()
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Christos P. Kitsos: West Attica University
Amílcar Oliveira: Universidade Aberta and CEAUL

A chapter in Computational Mathematics and Variational Analysis, 2020, pp 191-206 from Springer

Abstract: Abstract In this paper the non-linear problem is discussed, for point and interval computational estimation. For the interval estimation an adjusted formulation is discussed due to Beale’s measure of non-linearity. The non-linear experimental design problem is regarded when the errors of observations are assumed i.i.d. and normally distributed as usually. The sequential approach is adopted. The average-per-observation information matrix is adopted to the developed theoretical approach. Different applications are discussed and we provide evidence that the sequential approach might be the panacea for solving a non-linear optimal experimental design problem.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-030-44625-3_11

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DOI: 10.1007/978-3-030-44625-3_11

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