To obtain a systems-level understanding of a biological system, the authors conducted quantitative dynamic experiments from which the system structure and the parameters have to be deduced. Since biological systems have to cope with different environmental conditions, certain properties are often robust with respect to variations in some of the parameters. Hence, it is important to use optimal ...

In the context of estimating material properties of porous walls based on in-site measurements and identification method, this paper presents the concept of Optimal Experiment Design (OED). It aims at searching the best experimental conditions in terms of quantity and position of sensors and boundary conditions imposed to the material. These optimal conditions ensure to provide the maximum accu...

Missing observations are not uncommon in real-world experiments. Consequently, the robustness of an experimental design to one or more missing runs is an important characteristic of the design. Results of an evaluation of the robustness of classical and optimal designs to missing observations are presented, and optimal designs fare relatively well in terms of robustness compared to classical de...

We consider the problem of selecting sites for a seismographic network so that the network resolution will be optimal. Configurations are compared via the D-optimality criterion proposed in the statistical literature on optimal design of experiments. Optimal configurations are found using the efficient DETMAX algorithm. We also show how to implement the criterion and the algorithm in the presen...

In a recent article in the Canadian Journal of Forest Research (Ericsson 1997) discussed the use of postblocking in the analysis of progeny trials. We would like to comment on three aspects of this paper: The idea of postblocking a trial is well known and has been used to advantage by Patterson and Hunter (1983) as a means of studying the nature of spatial variation at trial sites. A more detai...

We consider the problem of determining an optimal experimental design for estimation of parameters of a class of complex curves characterizing nanowire growth that is partially exponential and partially linear. Locally D-optimal designs for some of the models belonging to this class are obtained by using a geometric approach. Further, a Bayesian sequential algorithm is proposed for obtaining D-...

We consider computationally tractable methods for the experimental design problem, where k out of n design points of dimension p are selected so that certain optimality criteria are approximately satisfied. Our algorithm finds a (1 + ε)approximate optimal design when k is a linear function of p; in contrast, existing results require k to be super-linear in p. Our algorithm also handles all popu...

This paper discusses different design techniques for stated preference surveys in health economic applications. In particular, we focus on different design techniques, i.e. how to combine the attribute levels into alternatives and choice sets, for choice experiments. Design is a vital issue in choice experiments since the combination of alternatives in the choice sets will determine the degree ...