Results 21 to 30 of about 357 (85)
Optimal design of dilution experiments under volume constraints [PDF]
The paper develops methods to construct a one-stage optimal design of dilution experiments under the total available volume constraint typical for bio-medical applications.
Zolghadr, Maryam, Zuyev, Sergei
core
Optimal designs for enzyme inhibition kinetic models [PDF]
In this paper we present a new method for determining optimal designs for enzyme inhibition kinetic models, which are used to model the influence of the concentration of a substrate and an inhibition on the velocity of a reaction.
Dette, Holger +3 more
core +2 more sources
Optimal designs for a class of nonlinear regression models [PDF]
For a broad class of nonlinear regression models we investigate the local E- and c-optimal design problem. It is demonstrated that in many cases the optimal designs with respect to these optimality criteria are supported at the Chebyshev points, which ...
Dette, Holger +2 more
core +2 more sources
Optimal discriminating designs for several competing regression models
The problem of constructing optimal discriminating designs for a class of regression models is considered. We investigate a version of the $T_p$-optimality criterion as introduced by Atkinson and Fedorov [Biometrika 62 (1975a) 289-303].
Braess, Dietrich, Dette, Holger
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Generalized resolution for orthogonal arrays [PDF]
The generalized word length pattern of an orthogonal array allows a ranking of orthogonal arrays in terms of the generalized minimum aberration criterion (Xu and Wu [Ann. Statist. 29 (2001) 1066-1077]).
Grömping, Ulrike, Xu, Hongquan
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An optimal experimental set-up maximizes the value of data for statistical inferences and predictions. The efficiency of strategies for finding optimal experimental set-ups is particularly important for experiments that are time-consuming or expensive to
Beck, Joakim +3 more
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Optimal stated preference choice experiments when all choice sets contain a specific option [PDF]
Stated preference choice experiments are routinely used in many areas from marketing to medicine. While results on the optimal choice sets to present for the forced choice setting have been determined in a variety of situations, no results have appeared ...
Burgess, L, Street, DJ
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An extended Generalised Variance, with Applications [PDF]
We consider a measure $\psi$ k of dispersion which extends the notion of Wilk's generalised variance, or entropy, for a d-dimensional distribution, and is based on the mean squared volume of simplices of dimension k $\le$ d formed by k + 1 independent ...
Pronzato, Luc +2 more
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Resolvable designs with large blocks
Resolvable designs with two blocks per replicate are studied from an optimality perspective. Because in practice the number of replicates is typically less than the number of treatments, arguments can be based on the dual of the information matrix and ...
Morgan, J. P., Reck, Brian H.
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$T$-optimal discriminating designs for Fourier regression models [PDF]
In this paper we consider the problem of constructing $T$-optimal discriminating designs for Fourier regression models. We provide explicit solutions of the optimal design problem for discriminating between two Fourier regression models, which differ by ...
Dette, Holger +2 more
core +1 more source

