Optimal Designs for Models with Block-Block Resp. Treatment-Treatment Correlations.

Konrad Engel; Sylke Gierer

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Displaying similar documents to “Optimal Designs for Models with Block-Block Resp. Treatment-Treatment Correlations.”

Optimal Design for Interacting Blocks with OAVS Incidence.

J.P. Morgan (1997)

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On Some E-Optimal Block Designs.

A. Dey, Ashish Das (1989)

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On optimality of the orthogonal block design

Ewa Synówka-Bejenka, Stefan Zontek (2012)

Discussiones Mathematicae Probability and Statistics

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In the paper a usual block design with treatment effects fixed and block effects random is considered. To compare experimental design the asymptotic covariance matrix of a robust estimator proposed by Bednarski and Zontek (1996) for simultaneous estimation of shift and scale parameters is used. Asymptotically A- and D- optimal block designs in the class of designs with bounded block sizes are characterized.

A Note on the E-Optimality of Block Designs.

M. Jacroux (1991)

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Optimal Variance- and Efficiency-Balanced Designs for One-and Two-Way Elimination of Heterogeneity.

A. Dey, A. Das (1991)

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Optimality of Block Designs with Variable Block Sizes and Random Block Effects.

Joachim Kunert (1994)

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Robustness to the Unavailability of Data in Block Designs.

W.L. Notz, D.C. Whittinghill, Y. Zhu (1994)

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A Class of Non Binary Unequally Replicated E-Optimal Designs.

S. Bagchi (1988)

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A note on the D-optimality and D-efficiency of nonorthogonal blocked main effects plans

Łukasz Smaga (2016)

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This paper considers main effects plans used to study m two-level factors using n runs which are partitioned into b blocks of equal size k = n/b. The assumptions are adopted that n ≡ 2 (mod 8) and k > 2 is even. Certain designs not having all main effects orthogonal to blocks were shown by Jacroux (2011a) to be D-optimal when (m − 2)(k − 2) + 2 ⩽ n ⩽ (m − 1)(k − 2) + 2. Here, we extend that result. For (m − 3)(k − 2) + 2 ⩽ n < (m − 2)(k − 2) + 2, the D-optimality of those designs...