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A note on D-optimal designs for models with and without an intercept

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  • Kim-Hung Li
  • Tai-Shing Lau
  • Chongqi Zhang

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Suggested Citation

  • Kim-Hung Li & Tai-Shing Lau & Chongqi Zhang, 2005. "A note on D-optimal designs for models with and without an intercept," Statistical Papers, Springer, vol. 46(3), pages 451-458, July.
    • Handle: RePEc:spr:stpapr:v:46:y:2005:i:3:p:451-458
    DOI: 10.1007/BF02762844
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    References listed on IDEAS

    as
    1. Fang, Zhide, 2002. "D-optimal designs for polynomial regression models through origin," Statistics & Probability Letters, Elsevier, vol. 57(4), pages 343-351, May.
    2. Chang, Fu-Chuen, 1999. "Exact D-optimal designs for polynomial regression without intercept," Statistics & Probability Letters, Elsevier, vol. 44(2), pages 131-136, August.
    3. E. Rafajłowicz & W. Myszka, 1992. "When product type experimental design is optimal? Brief survey and new results," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 39(1), pages 321-333, December.
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    Citations

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    Cited by:

    1. Idais, Osama, 2020. "A note on locally optimal designs for generalized linear models with restricted support," Statistics & Probability Letters, Elsevier, vol. 159(C).
    2. Dette, Holger & Melas, Viatcheslav B. & Shpilev, Petr, 2021. "A note on optimal designs for estimating the slope of a polynomial regression," Statistics & Probability Letters, Elsevier, vol. 170(C).
    3. Hanen Hanna & Walter Tinsson, 2015. "A new class of designs for mixture-of-mixture experiments," Statistical Papers, Springer, vol. 56(2), pages 311-331, May.
    4. Dette, Holger & Melas, Viatcheslav B. & Shpilev, Petr, 2020. "Optimal designs for estimating individual coefficients in polynomial regression with no intercept," Statistics & Probability Letters, Elsevier, vol. 158(C).
    5. Nripes Mandal & Manisha Pal & Bikas Sinha & Premadhis Das, 2015. "Optimum mixture designs in a restricted region," Statistical Papers, Springer, vol. 56(1), pages 105-119, February.

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    4. Fang, Zhide, 2002. "D-optimal designs for polynomial regression models through origin," Statistics & Probability Letters, Elsevier, vol. 57(4), pages 343-351, May.
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