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Optimal Regression Designs

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Fractional and Multivariable Calculus

Part of the book series: Springer Optimization and Its Applications ((SOIA,volume 122))

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Abstract

The general linear model, discussed in Chapter 4, will be re-examined here in order to bring out some more interesting points and to talk about estimability of linear functions of the parameters, Gauss–Markov setup, and related matters.

This chapter is based on the lectures of Professor Stratis Kounias of the University of Athens, Greece, and the University of Cyprus.

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References

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  5. Kounias, S., Lefkopoulou, M., & Bagiatis, C. (1983). \(G\)-optimal \(N\)-observation first order \(2^k\) designs. Discrete Mathematics, 43, 21–31.

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Author information

Authors and Affiliations

  1. Centre for Mathematical and Statistical Sciences, Peechi Campus, Kerala, India

    A. M. Mathai & H. J. Haubold

  2. Department of Mathematics and Statistics, McGill University, Montreal, QC, Canada

    A. M. Mathai

  3. Vienna International Centre, Office for Outer Space Affairs, United Nations, Vienna, Austria

    H. J. Haubold

Authors
  1. A. M. Mathai
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  2. H. J. Haubold
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Correspondence to A. M. Mathai .

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Mathai, A.M., Haubold, H.J. (2017). Optimal Regression Designs. In: Fractional and Multivariable Calculus . Springer Optimization and Its Applications, vol 122. Springer, Cham. https://doi.org/10.1007/978-3-319-59993-9_5

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