D-optimality for regression designs: A review. Technometrics 17, 15 -23.St. John RC, Draper NR. 1975. D-optimality for regression designs. A review. Technometrics 17(1): 15-23.St. R. C. John and N. R. Draper. D-optimality for regression designs: A review. Technometrics, 17:15-23...
The D-optimality criterion, by definition, maximizes the determinant of the Fisher information matrix. For a Poisson regression model with design matrix X and model parameter vector β, the Fisher information matrix isI(X,β)=X′WX,where W=diag{exp(xi′β)} is the Hessian matrix. The depend...
For example, there are algorithms for finding optimal approximate designs regardless of the models and theory to confirm optimality of a design. For these reasons, we focus on approximate designs in this paper and gauge their worth using the normalized information matrix, which measures their worth...
More so, the predictive accuracy does not depend on increasing the number of hidden layers and neurons in the neural architecture but rather on the optimality of the training process.Furthermore, the findings above affirm that the TL9D experimental data reduce the efficiency of the ML algorithm ...
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The experimental points for the D- Optimal Design are usually selected from a full factorial design by using the D-optimality criterion. The number of experimental points is of course in correlation with the order of the approximation functions. Usually over sampling of approximately 50 % is ...
(sub)optimality and remedies of the majority rule in team contests: theory and experiments 数字经济工作坊 主讲人: 邝仲弘(中国人民大学经济学院副教授) 主持老师: (北大经院)曹光宇 时间: 2025年5月16日(周五) 10:00-11:3...
Automatic structure discovery for varying-coefficient partially linear models Varying-coefficient partially linear models provide a useful tools for modeling of covariate effects on the response variable in regression. One key questi... G Yang,Y Sun,X Cui - 《Communications in Statistics》 被引量: ...
St John R, Draper N (1975) D-optimality for regression designs: a review. Technometrics 17(1):15–23St. John RC, Draper NR (1975) D-optimality for regression design—review. Technometrics 17(1):15–23 MATH MathSciNetSt John R, Draper N (1975) D-optimality for regression designs: a...
And we also suggest a method for computer-aided design of combinatorial search[13].In this study, we have proved and constructed the approximateD-optimal (measure) andD n -optimal (exact) designs by the use of the first and second order mixtures regression models with logarithmic terms in ...