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Universal optimal block designs under hub correlation structure

Author

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  • Khodsiani, R.
  • Pooladsaz, S.

Abstract

Universal optimal block designs under general correlation structures are usually difficult to specify theoretically or algorithmically. However, they can sometimes be found for a specific correlation and a particular parameter value.

Suggested Citation

  • Khodsiani, R. & Pooladsaz, S., 2017. "Universal optimal block designs under hub correlation structure," Statistics & Probability Letters, Elsevier, vol. 129(C), pages 387-392.
    • Handle: RePEc:eee:stapro:v:129:y:2017:i:c:p:387-392
    DOI: 10.1016/j.spl.2017.06.024
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    References listed on IDEAS

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    1. Katarzyna Filipiak & Augustyn Markiewicz, 2014. "On the Optimality of Circular Block Designs Under a Mixed Interference Model," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 43(21), pages 4534-4545, November.
    2. S. Pooladsaz & R. J. Martin, 2005. "Optimal extended complete block designs for dependent observations," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 61(2), pages 185-197, April.
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    Citations

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    Cited by:

    1. Saeid Pooladsaz & Mahboobeh Doosti-Irani, 2024. "An algorithm for generating efficient block designs via a novel particle swarm approach," Computational Statistics, Springer, vol. 39(5), pages 2437-2449, July.
    2. Katarzyna Filipiak & Razieh Khodsiani & Augustyn Markiewicz, 2019. "Optimality of block designs under the model with the first-order circular autoregression," Statistical Papers, Springer, vol. 60(2), pages 427-447, April.
    3. Akram Fakhari-Esferizi & Saeid Pooladsaz, 2022. "Universally optimal balanced block designs for interference model," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 85(8), pages 1049-1061, November.

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    1. Katarzyna Filipiak & Augustyn Markiewicz, 2017. "Universally optimal designs under mixed interference models with and without block effects," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 80(6), pages 789-804, November.
    2. Akram Fakhari-Esferizi & Saeid Pooladsaz, 2022. "Universally optimal balanced block designs for interference model," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 85(8), pages 1049-1061, November.
    3. Katarzyna Filipiak & Razieh Khodsiani & Augustyn Markiewicz, 2019. "Optimality of block designs under the model with the first-order circular autoregression," Statistical Papers, Springer, vol. 60(2), pages 427-447, April.

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