A-Efficient block designs for comparing two disjoint sets of treatments
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Publication:4337169
DOI10.1080/03610929608831743zbMath0875.62388OpenAlexW2023544896MaRDI QIDQ4337169
Rajender Parsad, S. Jaggi, Vinod Kumar Gupta
Publication date: 5 November 1997
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610929608831743
Related Items (7)
Some MV-optimal group divisible type block designs for comparing a set of test treatments with a set of standard treatments ⋮ Neighbor-Balanced Bipartite Block Designs ⋮ Efficient crossover designs for comparing test treatments with a control treatment ⋮ Optimal allocation for comparing \(k\) test treatments to positive and negative control with unequal weighting under A-optimality and MV-optimality ⋮ Trend resistant balanced bipartite block designs ⋮ Weighted A-optimal block designs for comparing test treatments with controls with unequal precision ⋮ Comparing more than one treatment to more than one control in incomplete blocks
Cites Work
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- A-Optimal Incomplete Block Designs for Control-Test Treatment Comparisons
- Optimal designs for comparisons between two sets of treatments
- On bounds for the efficiency of block designs for comparing test treatments with a control
- Optimal designs for comparing test treatments with controls. With comments and a rejoinder by the authors
- Optimal incomplete block designs for comparing treatments with a control
- Equireplicate balanced block designs with unequal block sizes
- Balanced Block Designs with Two Different Numbers of Replicates
- Incomplete Block Designs for Comparing Treatments with a Control: General Theory
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