Abstract
Different approaches to experimental design in the presence of systematic error are considered. Randomisation of designs allows us to study the problems from a unified viewpoint. Some new results concerning random replication in the linear regression model are elucidated.
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Ermakov, S.M. (2001). On Regression Experiment Design in the Presence of Systematic Error. In: Atkinson, A., Bogacka, B., Zhigljavsky, A. (eds) Optimum Design 2000. Nonconvex Optimization and Its Applications, vol 51. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3419-5_3
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DOI: https://doi.org/10.1007/978-1-4757-3419-5_3
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