Continuous optimal designs for gener- alized linear models under model uncertainty. Journal of Statistical Theory and Practice 5, 137-145.Woods, D.C., Lewis, S.M., 2011. Continuous optimal designs for generalized linear models under model uncertainty. Journal of Statistical Theory and Practice 5...
Designs for generalized linear models. In: Dean AM, Bingham DR, Morris MD and Stufken J (eds) Handbook of the Design and Analysis of Experiments. Chapman and Hall: Boca Raton, FL, in press.Atkinson, A. C. and Woods, D. C. (2015), Designs for generalized linear models, in A. ...
G. (2006). Designs for generalized linear models with several variables and model uncertainty. Technometrics 48, 284-292.Woods, D. C., Lewis, S. M., Eccleston, J. A., and Russell, K. G. (2006), "De- signs for Generalized Linear Models With Several Variables and Model Un- certainty...
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–...
Generalized linear models including additional day effects are used for analyzing the process, where the models vary with respect to different responses. We construct robust D-optimal designs to collect additional data on any current day, which are efficient for the estimation of the parameters in ...
Most of the current research on optimal experimental designs for generalized linear models focuses on logistic regression models. In this paper, D-optimal designs for Poisson regression models are discussed. For the one-variable first-order Poisson regression model, it has been found that the D-opt...
Designs for generalized linear models with random block effects via information matrix approximations The selection of optimal designs for generalized linear mixed models is complicated by the fact that the Fisher information matrix, on which most optimalit... TW Waite,DC Woods - 《Biometrika》 被引...
We study robust designs for generalized linear mixed models (GLMMs) with protections against possible departures from underlying model assumptions. Among v... XX A,SKS B - 《Journal of Statistical Planning & Inference》 被引量: 0发表: 2021年 Taylor & Francis Online :: Robust designs for binary...
Many chapters cover self-contained topics drawn from science, engineering and pharmaceutical investigations, such as response surface designs, blocking of experiments, designs for mixture experiments and for nonlinear and generalized linear models. Understanding is aided by the provision of "SAS tasks" ...
Asymptotic Theory of Quasi-maximum Likelihood Estimator in Generalized Linear Models With Adaptive Designs 自适应广义线性回归拟似然估计渐近理论 www.ilib.cn 2. Some Optimal Adaptive Designs in Clinical Trials 临床试验中的几种最优自适应设计 www.ilib.cn 3. Adaptive designs for clinical trial 临床试验的...