Special issue on algorithms for design of experiments
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Publication:1621386
DOI10.1016/j.csda.2013.10.001zbMath1471.00017OpenAlexW2053828086MaRDI QIDQ1621386
No author found.
Publication date: 8 November 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2013.10.001
Computational methods for problems pertaining to statistics (62-08) Proceedings, conferences, collections, etc. pertaining to statistics (62-06) Collections of articles of miscellaneous specific interest (00B15) Design of statistical experiments (62Kxx)
Cites Work
- Experimental designs for drug combination studies
- Optimal design for correlated processes with input-dependent noise
- Algorithms for approximate linear regression design with application to a first order model with heteroscedasticity
- An efficient procedure for the avoidance of disconnected incomplete block designs
- Augmenting supersaturated designs with Bayesian \(D\)-optimality
- Computing efficient exact designs of experiments using integer quadratic programming
- Construction of experimental designs for estimating variance components
- Optimal designed experiments using a Pareto front search for focused preference of multiple objectives
- A coordinate-exchange two-phase local search algorithm for the D- and I-optimal designs of split-plot experiments
- Integral approximations for computing optimum designs in random effects logistic regression models
- Efficient three-level screening designs using weighing matrices
- A New Approach to Optimal Design for Linear Models With Correlated Observations
- On the Choice of a Prior for Bayesian D-Optimal Designs for the Logistic Regression Model with a Single Predictor
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