A Class of Non Binary Unequally Replicated E-Optimal Designs.
A New Interpretation of Optimality for E-Optimal Designs in linear Regression Models.
A Note on the E-Optimality of Block Designs.
A Note on the Estimation of Total Weight in Chemical Balance Weighing Designs.
A Note on the Uniform Distribution on the Arcsin Points.
A Relationship between Efficiencies of Marginal Designs and the Product Design.
A simplex design for gradient estimation in quadratic regression
A sufficient statistic and a nonstandard linearization in nonlinear regression
A Vertex-Exchange-Method in D-optimal Design Theory.
Adaptive biased-coin designs for clinical trials with several treatments
Adaptive designs are used in phase III clinical trials for skewing the allocation pattern towards the better treatments. We use optimum design theory to provide a skewed biased-coin procedure for sequential designs with continuous responses. The skewed designs are used to provide adaptive designs, the performance of which is studied numerically for designs with three treatments. Important properties are loss and the proportion of allocation to inferior treatments. Regularisation to provide consistent...
Adaptive control for sequential design
The optimal experiment for estimating the parameters of a nonlinear regression model usually depends on the value of these parameters, hence the problem of designing experiments that are robust with respect to parameter uncertainty. Sequential designpermits to adapt the experiment to the value of the parameters, and can thus be considered as a robust design procedure. By designing theexperiments sequentially, one introduces a feedback of information, and thus dynamics, into the design procedure....
Algorithms for Optimal Design with Application to Multiple Polynomial Regression.
Almost Saturated D -Optimal Main Effect Plans and Allied Results.
An Example of Universal Optimality in a Full-Rank Model.
An introduction to optimal designs.
Analyse de la variance et indicatrices de modalités
Another View on Optimal Design for Estimating the Point of Extremum in Quadratic Regression.
A-optimal biased spring balance weighing design
In this paper we study the problem of estimation of individual measurements of objects in a biased spring balance weighing design under assumption that the errors are uncorrelated and they have different variances. The lower bound for the variance of each of the estimated measurements for this design and the necessary and sufficient conditions for this lower bound to be attained are given. The incidence matrices of the balanced incomplete block designs are used for construction of the A-optimal...
Asymptotic criteria for designs in nonlinear regression with model errors
Asymptotic optimality of experimental designs in estimating a product of means.