Model robust optimal designs for comparing test treatments with a control
From MaRDI portal
Publication:1094055
DOI10.1016/0378-3758(88)90013-4zbMath0629.62076OpenAlexW2025514467WikidataQ126527188 ScholiaQ126527188MaRDI QIDQ1094055
A. S. Hedayat, Dibyen Majumdar
Publication date: 1988
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0378-3758(88)90013-4
A-optimal designscomparing test treatments with a controlhomoscedasticMV-optimallinear additiveone-way or two-way elimination of heterogeneityYouden designs
Related Items
Row-column designs for comparing treatments with a control ⋮ Weighted A-efficiency of block designs for making treatment-control and treatment-treatment comparisons ⋮ A-optimal incomplete block designs with unequal block sizes for comparing test treatments with a control
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Optimal design and refinement of the linear model with applications to repeated measurements designs
- Optimal designs for treatment-control comparisons in the presence of two- way heterogeneity
- Families of A-optimal block designs for comparing test treatments with a control
- On the determination and construction of MV-optimal block designs for comparing test treatments with a standard treatment
- Optimal designs for comparisons between two sets of treatments
- On the usage of refined linear models for determining N-way classification designs which are optimal for comparing test treatments with a standard treatment
- A-optimal block designs for comparing test treatments with a control
- Optimal incomplete block designs for comparing treatments with a control
- A Family of Difference Sets
- Supplemented balance
- The Existence and Construction of Balanced Incomplete Block Designs
- Incomplete Block Designs for Comparing Treatments with a Control: General Theory
- Optimal design of complex experiments with qualitative factors of influence
- On Representatives of Subsets
- Some Families of Designs for Multistage Experiments: Mutually Balanced Youden Designs when the Number of Treatments is Prime Power or Twin Primes. I
