Baroni, M, Clement, S, Cruciani, G, Kettaneh-Wold, S, Wold, S (1993) D-optimal designs in QSAR. Quant Struct-Act Relat 12: pp. 225-231M. Baroni, S. Clementi, G. Cruciano, N. Kettaneh-Wold, and S. Wold. D-optimal designs i QSAR. Quant Struct- Act Relat 12: 225–331 (...
Introduction to D-Optimal Designs Traditional experimental designs (Full Factorial Designs, Fractional Factorial Designs, and Response Surface Designs) are appropriate for calibrating linear models in experimental settings where factors are relatively unconstrained in the region of interest. In some cases, ...
We show that in contrast with the case of the classical real OU process, a D-optimal design exists not only for the trend parameter, but also for joint estimation of the covariance parameters, moreover, these optimal designs are equidistant. 展开 ...
D-optimal designs are identified in classes of connected block designs with fixed block size when the number of experimental units is one or two more than the minimal number required for the design to be connected. An application of one of these results is made to identify D-optimal designs ...
D-Optimal Designs for Generalized Linear Models - Sitter, Torsney - 1995Sitter, R.R. and Torsney, B. (1995). D–optimal designs for generalized linear models. In: Kitsos, C.P. and Müller, W.G. (eds.), MODA 4 - Advances in Model–Oriented Data Analysis. Physica, Heidelberg, 87–...
Bayesian D-optimal designs on a fixed number of design points for heteroscedastic polynomial models. We consider design issues in a polynomial regression model where the variance of the response depends on the independent variable exponentially. However, t... DETTE,HOLGER,WONG,... - 《Biometrika》...
D-Optimal Designs for Rational Models Most of the design work has focused on the linear regression model due to its simplicity. However, as the amount of statistical analysis using nonlinear mo... Z He,WJ Studden,D Sun - Springer New York 被引量: 118发表: 2006年 DESIGN: Computerized ...
When a model-based approach is appropriate, an optimal design can guide how to collect data judiciously for making reliable inference at minimal cost. However, finding optimal designs for a statistical model with several possibly interacting factors can
D-optimal chemical balance designs for estimating total weight under both homogeneous and nonhomogeneous error variances are found when the number of objects weighed in each weighing is ≥ B, a fixed number. We indicate the restriction used in Chacko & Dey(1978) and Kageyama(1988), i.e. ...
In mixed effect models the variability of the regression parameters has substantial influence on the choice of the optimal design. If fewer observations per individual are possible than parameters are to be estimated, the optimality results of single-group designs no longer hold. D-optimal population...