Constructing Efficient Experimental Designs for Generalized Linear Models
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Publication:2821047
DOI10.1080/03610918.2014.927486zbMath1351.62151OpenAlexW2062786841MaRDI QIDQ2821047
Publication date: 16 September 2016
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2014.927486
Cites Work
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- Design issues for generalized linear models: a review
- Optimal Bayesian design applied to logistic regression experiments
- A review of some exchange algorithms for constructing discrete \(D\)-optimal designs
- Whole-Plot Exchange Algorithms for Constructing D-Optimal Multistratum Designs
- DESIGN OF EXPERIMENTS IN NON-LINEAR SITUATIONS
- Optimum Designs in Regression Problems
- Optimum Designs in Regression Problems, II
- Generation of d–optimal designs in a finite design space
- Constructing Exact D-Optimal Experimental Designs by Simulated Annealing
- The construction of exact D-optimum experimental designs with application to blocking response surface designs
- An algorithm for constructing optimal resolvable incomplete block designs
- Robust designs for binary data: applications of simulated annealing
- The Sequential Generation of $D$-Optimum Experimental Designs
- Optimal designs for binary data under logistic regression
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