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D-Optimal First Order Saturated Designs with n ≡ 2mod4 Observations

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MODA4 — Advances in Model-Oriented Data Analysis

Part of the book series: Contributions to Statistics ((CONTRIB.STAT.))

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Abstract

In experimental situations where n two-level factors are involved and n observations are taken, then the D-optimal first order saturated design is an n × n ±1 matrix with the maximum determinant. In this paper we discuss this problem for n ≡ 2mod4, we summarize all the known results, and we give some new D-optimal designs.

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© 1995 Springer-Verlag Berlin Heidelberg

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Koukouvinos, C. (1995). D-Optimal First Order Saturated Designs with n ≡ 2mod4 Observations. In: Kitsos, C.P., Müller, W.G. (eds) MODA4 — Advances in Model-Oriented Data Analysis. Contributions to Statistics. Physica, Heidelberg. https://doi.org/10.1007/978-3-662-12516-8_14

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  • DOI: https://doi.org/10.1007/978-3-662-12516-8_14

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-0864-3

  • Online ISBN: 978-3-662-12516-8

  • eBook Packages: Springer Book Archive

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