Results 91 to 100 of about 768,227 (181)

Optimal orthogonal block designs for three-component symmetric general blending models in mixture experiment

Statistical Theory and Related Fields
In mixture experiments, the observed response is determined by the relative proportions of the components, consequently rendering the experimental region a simplex.
Jiawei Bao, Yu Tang
doaj   +1 more source

The optimal design of an experiment with blocks of size two for quadratic regression on one variable. [PDF]

Exact D-optimal designs are derived for an optometry experiment for the estimation of a quadratic polynomial in one explanatory variable. Two observations are made for each subject participating in the experiment, such that each subject serves as a block
Goos, Peter, Vandebroek, Martina
core  

On the number of support points of maximin and Bayesian D-optimal designs in nonlinear regression models [PDF]

We consider maximin and Bayesian D-optimal designs for nonlinear regression models. The maximin criterion requires the specification of a region for the nonlinear parameters in the model, while the Bayesian optimality criterion assumes that a prior ...
Braess, Dietrich, Dette, Holger
core  

D-optimal designs for multiarm trials with dropouts. [PDF]

Stat Med, 2019
Lee KM, Biedermann S, Mitra R.
europepmc   +1 more source

On the Equivalence of Optimality Design Criteria for the Placebo-Treatment Problem [PDF]

We consider a class of optimality criteria and show that each crite- rion has its unique and equivalent dual within the class. This property can be used to find a variety of optimal designs, including a class of compound optimal designs and their ...
Dette, Holger, Wong, Weng Kee, Zhu, Wei
core  

Evaluating the prediction power and accuracy of two smart response surface experimental designs after revisiting repaglinide floating tablets

Future Journal of Pharmaceutical Sciences
Background There is a soar in the figure of companies aiming to achieve efficiency in undergoing experimental processes. Therefore, instead of deploying one-factor-at-a-time, design of experiments is becoming rampantly utilized in order to reduce the ...
Tarek Elsayed, Rania M. Hathout
doaj   +1 more source

Standardized maximim D-optimal designs for enzyme kinetic inhibition models. [PDF]

Chemometr Intell Lab Syst, 2017
Chen PY, Chen RB, Tung HC, Wong WK.
europepmc   +1 more source

Computing Experiment-Constrained D-Optimal Designs

In optimal experimental design, the objective is to select a limited set of experiments that maximizes information about unknown model parameters based on factor levels. This work addresses the generalized D-optimal design problem, allowing for nonlinear relationships in factor levels.
Pillai, Aditya, Ponte, Gabriel, Fampa, Marcia, Lee, Jon, Singh, and Mohit, Xie, Weijun   +5 more
openaire   +2 more sources

Efficient design of experiment for exponential regression models [PDF]

In this paper robust and efficient designs are derived for several exponential decay models. These models are widely used in chemistry, pharmacokinetics or microbiology.
Dette, Holger, Martinez Lopez, Ignacio, Ortiz Rodriguez, Isabel M., Pepelyshev, Andrey   +3 more
core  

Optimized Pseudo Random Bit Generator in QCA Technology

Engineering Reports
Quantum Dot Cellular Automata (QCA) technology is one of the new technologies in the field of digital electronics. In this article, for the first time, some unique designs are presented in the most optimal possible state in the QCA technology.
Pezhman Kiani Vosta, Mohammad Gholami, Amard Afzalian   +2 more
doaj   +1 more source