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Part of the book series: Lecture Notes in Statistics ((LNS,volume 125))

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Abstract

All algorithms that we are going to discuss are iterative. Let ξsbe the design that was obtained after(s— 1) iteration steps. At thes-th iteration step we hopefully will improve — as in all previous steps — the characteristics of the design. The new design, for instance, may be obtained according to

$${\xi _{s + 1}} = (1 - {\alpha _s}){\xi _s} + {\alpha _s}\xi ;$$
(3.1.1)

this means that we reduce the number of observations which are taken in accordance with design ξsand that we, instead, take some observations at points which correspond to design ξ. How shall we choose those points or the design ξ?

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© 1997 Springer Science+Business Media New York

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Fedorov, V.V., Hackl, P. (1997). Numerical Techniques. In: Model-Oriented Design of Experiments. Lecture Notes in Statistics, vol 125. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-0703-0_4

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  • DOI: https://doi.org/10.1007/978-1-4612-0703-0_4

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-98215-1

  • Online ISBN: 978-1-4612-0703-0

  • eBook Packages: Springer Book Archive

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