Designs for estimating an extremal point of quadratic regression models in a hyperball
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DOI: 10.1007/s001840200237
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Cited by:
- Tekle, Fetene B. & Tan, Frans E.S. & Berger, Martijn P.F., 2008. "Maximin D-optimal designs for binary longitudinal responses," Computational Statistics & Data Analysis, Elsevier, vol. 52(12), pages 5253-5262, August.
- Holger Dette & Viatcheslav B. Melas & Petr Shpilev, 2021. "Some explicit solutions of c-optimal design problems for polynomial regression with no intercept," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 73(1), pages 61-82, February.
- Florenz Plassmann & Neha Khanna, 2007. "Assessing the Precision of Turning Point Estimates in Polynomial Regression Functions," Econometric Reviews, Taylor & Francis Journals, vol. 26(5), pages 503-528.
- Dette, Holger & Melas, Viatcheslav B., 2008. "Optimal designs for estimating the slope of a regression," Technical Reports 2008,21, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
- Pal, Manisha & Mandal, Nripes K., 2006. "Optimum designs for optimum mixtures," Statistics & Probability Letters, Elsevier, vol. 76(13), pages 1369-1379, July.
- Pal, Manisha & Mandal, Nripes Kumar, 2008. "Minimax designs for optimum mixtures," Statistics & Probability Letters, Elsevier, vol. 78(6), pages 608-615, April.
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Keywords
Estimating of an extremum point; quadratic regression model; truncated locally D-optimal designs; equivalence theorems;All these keywords.
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