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pro vyhledávání: '"Gilmour, Steven G"'
Autor:
Trinca, Luzia A., Gilmour, Steven G.
Response surface designs are usually described as being run under complete randomization of the treatment combinations to the experimental units. In practice, however, it is often necessary or beneficial to run them under some kind of restriction to
Externí odkaz:
http://arxiv.org/abs/2410.18734
Autor:
Zhou, Xietao, Gilmour, Steven G.
We have established the association matrix that expresses the estimator of effects under baseline parameterization, which has been considered in some recent literature, in an equivalent form as a linear combination of estimators of effects under the
Externí odkaz:
http://arxiv.org/abs/2409.01926
Autor:
Pigoli, Davide, Baker, Kieran, Budd, Jobie, Butler, Lorraine, Coppock, Harry, Egglestone, Sabrina, Gilmour, Steven G., Holmes, Chris, Hurley, David, Jersakova, Radka, Kiskin, Ivan, Koutra, Vasiliki, Mellor, Jonathon, Nicholson, George, Packham, Joe, Patel, Selina, Payne, Richard, Roberts, Stephen J., Schuller, Björn W., Tendero-Cañadas, Ana, Thornley, Tracey, Titcomb, Alexander
Since early in the coronavirus disease 2019 (COVID-19) pandemic, there has been interest in using artificial intelligence methods to predict COVID-19 infection status based on vocal audio signals, for example cough recordings. However, existing studi
Externí odkaz:
http://arxiv.org/abs/2212.08571
Autor:
Egorova, Olga, Gilmour, Steven G.
Complete reliance on the fitted model in response surface experiments is risky and relaxing this assumption, whether out of necessity or intentionally, requires an experimenter to account for multiple conflicting objectives. This work provides a meth
Externí odkaz:
http://arxiv.org/abs/2208.05366
We propose a novel model-based approach for constructing optimal designs with complex blocking structures and network effects, for application in agricultural field experiments. The potential interference among treatments applied to different plots i
Externí odkaz:
http://arxiv.org/abs/2012.13425
Akademický článek
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Autor:
Großmann, Heiko, Gilmour, Steven G.
Publikováno v:
In Econometrics and Statistics October 2023 28:138-154
Prediction capability is considered an important issue in response surface methodology. Following the line of argument that a design should have several desirable properties we have extended an existing compound design criterion to include prediction
Externí odkaz:
http://arxiv.org/abs/1906.07500
We propose a method for constructing optimal block designs for experiments on networks. The response model for a given network interference structure extends the linear network effects model to incorporate blocks. The optimality criteria are chosen t
Externí odkaz:
http://arxiv.org/abs/1902.01352
In this paper, we demonstrate that considering experiments in a graph-theoretic manner allows us to exploit automorphisms of the graph to reduce the number of evaluations of candidate designs for those experiments, and thus find optimal designs faste
Externí odkaz:
http://arxiv.org/abs/1802.09582